Mostly safe — a couple of notes worth reading.
Scanned 5/3/2026, 7:10:22 PM·Cached result·Fast Scan·45 rules·How we decide ↗
AIVSS Score
Low
Severity Breakdown
0
critical
0
high
33
medium
0
low
MCP Server Information
Findings
This package scores 72/100 with a B grade and carries 33 medium-severity findings, primarily around server configuration issues (29 findings) plus some resource exhaustion and container image concerns. The configuration weaknesses could expose the server to misuse or instability if deployed without hardening, though no critical or high-severity vulnerabilities were detected. You should review and address the server configuration recommendations before production use.
No known CVEs found for this package or its dependencies.
Scan Details
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Showing 1–30 of 33 findings
33 findings
Service binds to 0.0.0.0 — all network interfaces. For MCP servers that only need to talk to a single parent process, bind to 127.0.0.1 (or a Unix domain socket) instead.
Evidence
| 96 | await transport.handlePostMessage(req, res); |
| 97 | }); |
| 98 | |
| 99 | const httpServer = app.listen(flags.port, "0.0.0.0", () => { |
| 100 | const ha = httpServer.address(); |
| 101 | const host = typeof ha === "string" ? ha : `${ha?.address}:${ha?.port}`; |
| 102 | logger.info("MCP HTTP server started", { host }); |
Remediation
Bind to 127.0.0.1 for local-only access. If cross-host access is truly required, put the service behind an authenticated reverse proxy rather than exposing it on 0.0.0.0.
Network / IO / subprocess call without an explicit timeout. A malicious or hung upstream (HTTP host, socket peer, child process) can pin threads, exhaust connection/process pools, and make the MCP server unresponsive. Always pass a bounded timeout. v2 extends v1 with subprocess coverage (R03 from the legacy readiness audit).
Evidence
| 15 | // Node.js and browers would ignore an undefined init value. This check is |
| 16 | // therefore needed for interop with Bun. |
| 17 | if (init == null) { |
| 18 | return fetch(input); |
| 19 | } else { |
| 20 | return fetch(input, init); |
| 21 | } |
Remediation
Pass timeout= on every call: - HTTP: `requests.get(url, timeout=5)`, `httpx.get(url, timeout=5.0)` - Node fetch: `AbortSignal.timeout(5000)` - Subprocess: `subprocess.run(["cmd"], timeout=30, check=True)` Pick a value short enough to fail fast and retry.
Network / IO / subprocess call without an explicit timeout. A malicious or hung upstream (HTTP host, socket peer, child process) can pin threads, exhaust connection/process pools, and make the MCP server unresponsive. Always pass a bounded timeout. v2 extends v1 with subprocess coverage (R03 from the legacy readiness audit).
Evidence
| 2116 | x-speakeasy-group: applicationsBeta |
| 2117 | x-speakeasy-name-override: fetch |
| 2118 | x-speakeasy-metadata: |
| 2119 | after: sdk.applicationsBeta.fetch() |
| 2120 | before: sdk.Applications (beta).getApplications() |
| 2121 | type: method-name |
| 2122 | - target: $["paths"]["/api/v2/applications/{applicationKey}/versions/{versionKey}"]["patch"] |
Remediation
Pass timeout= on every call: - HTTP: `requests.get(url, timeout=5)`, `httpx.get(url, timeout=5.0)` - Node fetch: `AbortSignal.timeout(5000)` - Subprocess: `subprocess.run(["cmd"], timeout=30, check=True)` Pick a value short enough to fail fast and retry.
Network / IO / subprocess call without an explicit timeout. A malicious or hung upstream (HTTP host, socket peer, child process) can pin threads, exhaust connection/process pools, and make the MCP server unresponsive. Always pass a bounded timeout. v2 extends v1 with subprocess coverage (R03 from the legacy readiness audit).
Evidence
| 17 | if (init == null) { |
| 18 | return fetch(input); |
| 19 | } else { |
| 20 | return fetch(input, init); |
| 21 | } |
| 22 | }; |
Remediation
Pass timeout= on every call: - HTTP: `requests.get(url, timeout=5)`, `httpx.get(url, timeout=5.0)` - Node fetch: `AbortSignal.timeout(5000)` - Subprocess: `subprocess.run(["cmd"], timeout=30, check=True)` Pick a value short enough to fail fast and retry.
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 48 | z.ZodTypeDef, |
| 49 | ReferenceRep |
| 50 | > = z.object({ |
| 51 | path: z.string(), |
| 52 | hint: z.string().optional(), |
| 53 | hunks: z.array(HunkRep$outboundSchema), |
| 54 | }); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(InvalidRequestErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 29 | unknown |
| 30 | > = z.object({ |
| 31 | op: z.string(), |
| 32 | path: z.string(), |
| 33 | value: z.any().optional(), |
| 34 | }); |
| 35 | /** @internal */ |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 107 | variations: z.array(AIConfigVariation$inboundSchema), |
| 108 | createdAt: z.number().int(), |
| 109 | updatedAt: z.number().int(), |
| 110 | evaluationMetricKey: z.string().optional(), |
| 111 | evaluationMetricKeys: z.array(z.string()).optional(), |
| 112 | isInverted: z.boolean().optional(), |
| 113 | dependencies: z.array(AIConfigDependency$inboundSchema).optional(), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(MethodNotAllowedErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(RateLimitedErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 31 | z.ZodTypeDef, |
| 32 | unknown |
| 33 | > = z.object({ |
| 34 | path: z.string(), |
| 35 | hint: z.string().optional(), |
| 36 | hunks: z.array(HunkRep$inboundSchema), |
| 37 | }); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 34 | maintainerTeamKey: z.string().optional(), |
| 35 | name: z.string().optional(), |
| 36 | tags: z.array(z.string()).optional(), |
| 37 | evaluationMetricKey: z.string().optional(), |
| 38 | isInverted: z.boolean().optional(), |
| 39 | }); |
| 40 | /** @internal */ |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 59 | maintainerTeamKey: z.string().optional(), |
| 60 | name: z.string().optional(), |
| 61 | tags: z.array(z.string()).optional(), |
| 62 | evaluationMetricKey: z.string().optional(), |
| 63 | isInverted: z.boolean().optional(), |
| 64 | }); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 33 | export const ErrorT$inboundSchema: z.ZodType<ErrorT, z.ZodTypeDef, unknown> = z |
| 34 | .object({ |
| 35 | message: z.string(), |
| 36 | code: z.string(), |
| 37 | request$: z.instanceof(Request), |
| 38 | response$: z.instanceof(Response), |
| 39 | body$: z.string(), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 156 | variations: z.array(AIConfigVariation$outboundSchema), |
| 157 | createdAt: z.number().int(), |
| 158 | updatedAt: z.number().int(), |
| 159 | evaluationMetricKey: z.string().optional(), |
| 160 | evaluationMetricKeys: z.array(z.string()).optional(), |
| 161 | isInverted: z.boolean().optional(), |
| 162 | dependencies: z.array(AIConfigDependency$outboundSchema).optional(), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 46 | PatchOperation |
| 47 | > = z.object({ |
| 48 | op: z.string(), |
| 49 | path: z.string(), |
| 50 | value: z.any().optional(), |
| 51 | }); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(StatusConflictErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(NotFoundErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 94 | name: z.string(), |
| 95 | tags: z.array(z.string()).optional(), |
| 96 | defaultVariation: AIConfigVariationPost$outboundSchema.optional(), |
| 97 | evaluationMetricKey: z.string().optional(), |
| 98 | isInverted: z.boolean().optional(), |
| 99 | }); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 61 | .transform(v => v.data$) |
| 62 | .pipe(z.object({ |
| 63 | message: z.string(), |
| 64 | code: z.string(), |
| 65 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 44 | z.ZodTypeDef, |
| 45 | unknown |
| 46 | > = z.object({ |
| 47 | code: z.string(), |
| 48 | message: z.string(), |
| 49 | request$: z.instanceof(Request), |
| 50 | response$: z.instanceof(Response), |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(UnauthorizedErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 72 | > = z.instanceof(ForbiddenErrorRep) |
| 73 | .transform(v => v.data$) |
| 74 | .pipe(z.object({ |
| 75 | code: z.string(), |
| 76 | message: z.string(), |
| 77 | })); |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
MCP tool input schema exposes an unconstrained string/any field with a risky name (command/query/sql/code/script/url/path/expr/ eval). Any caller can pass arbitrary values, which typically widens the tool's blast radius well beyond its intent. Narrow the schema with `.enum()`, `.regex()`, `.max()`, `Literal[...]`, Pydantic `Field(max_length=..., pattern=...)`, or a JSON Schema `enum` / `pattern` / `maxLength`.
Evidence
| 63 | name: z.string(), |
| 64 | tags: z.array(z.string()).optional(), |
| 65 | defaultVariation: AIConfigVariationPost$inboundSchema.optional(), |
| 66 | evaluationMetricKey: z.string().optional(), |
| 67 | isInverted: z.boolean().optional(), |
| 68 | }); |
| 69 | /** @internal */ |
Remediation
Shape the schema to the tool's actual intent: - Zod: chain `.enum([...])`, `.regex(/.../)`, or `.max(n)`; prefer `z.enum([...])` or `z.literal(...)` when the value set is small. - Pydantic: use `Literal["a", "b"]` or `Field(max_length=..., pattern=r"...")`. - JSON Schema: add `"enum"`, `"pattern"`, or `"maxLength"` to the property. An overbroad schema is an "overpowered tool" — the model has nothing to prevent it from calling the tool with input far beyond what the tool's prose contract
Dockerfile never sets a non-root `USER` directive, so the CMD runs as root by default. Any RCE or library-level vulnerability exploited inside this container gets full privileges (MCP Top-10 R3). Add `USER <non-root>` before CMD / ENTRYPOINT in the final stage — e.g. `USER 1000`, `USER nobody`, or `USER nonroot` on distroless.
Evidence
| 1 | FROM oven/bun:1-debian AS builder |
| 2 | |
| 3 | WORKDIR /app |
| 4 | |
| 5 | COPY package*.json ./ |
| 6 | |
| 7 | RUN bun install |
| 8 | |
| 9 | COPY . . |
| 10 | |
| 11 | RUN bun run build |
| 12 | |
| 13 | FROM gcr.io/distroless/nodejs24-debian12:970bec506fed86941afb61c21983f25b3b3fe68c |
| 14 | |
| 15 | WORKDIR /app |
| 16 | |
| 17 | # Copy built application from builder stage |
| 18 | COPY --from=builder /app/dist ./dist |
| 19 | COPY --from=builder /app/bin ./bin |
| 20 | COPY --from=builder /app/package.json ./ |
| 21 | |
| 22 | EXPOSE 8080 |
| 23 | ENTRYPOINT ["/nodejs/bin/node", "/app/bin/mcp-server.js", "start", "--transport", "sse", "--port", "8080"] |
Remediation
Create and switch to a non-root user before the CMD / ENTRYPOINT: RUN adduser --system --uid 1000 app USER 1000 Or reuse the base image's shipped non-root account (e.g. `USER nobody`, `USER nonroot` on distroless). Multi-stage builds only need the USER directive in the final stage.
GitHub Actions `uses:` reference is not pinned to a 40-character commit SHA. Tags (`@v4`) and branches (`@main`) are mutable — a compromised maintainer or a tag rewrite can substitute malicious code into your CI pipeline silently. Pin to a SHA: `uses: actions/checkout@8e5e7e5ab8b370d6c329ec480221332ada57f0ab`. For readability, include the version as a trailing comment: `# v4.1.1`. Tools like `pinact` / `ratchet` automate this. Allowed unpinned forms (excluded by the rule): - Local actions `.
Evidence
| 14 | workflow_dispatch: {} |
| 15 | jobs: |
| 16 | publish: |
| 17 | uses: speakeasy-api/sdk-generation-action/.github/workflows/sdk-publish.yaml@v15 |
| 18 | with: |
| 19 | target: launchdarkly-mcp-server |
| 20 | secrets: |
Remediation
Pin every `uses:` to a 40-character commit SHA. Trailing comment with the version helps reviewers: `uses: actions/checkout@8e5e7e5ab8b370d6c329ec480221332ada57f0ab # v4.1.1` Automate the migration with `pinact` (https://github.com/suzuki-shunsuke/pinact) or `ratchet` (https://github.com/sethvargo/ratchet). Add a `pinact run --check` pre-commit hook so future PRs stay pinned. Re-pin when the action releases a new version — Dependabot can do this automatically with `version-update-strategy: inc
GitHub Actions `uses:` reference is not pinned to a 40-character commit SHA. Tags (`@v4`) and branches (`@main`) are mutable — a compromised maintainer or a tag rewrite can substitute malicious code into your CI pipeline silently. Pin to a SHA: `uses: actions/checkout@8e5e7e5ab8b370d6c329ec480221332ada57f0ab`. For readability, include the version as a trailing comment: `# v4.1.1`. Tools like `pinact` / `ratchet` automate this. Allowed unpinned forms (excluded by the rule): - Local actions `.
Evidence
| 23 | - unlabeled |
| 24 | jobs: |
| 25 | generate: |
| 26 | uses: speakeasy-api/sdk-generation-action/.github/workflows/workflow-executor.yaml@v15 |
| 27 | with: |
| 28 | force: ${{ github.event.inputs.force }} |
| 29 | mode: pr |
Remediation
Pin every `uses:` to a 40-character commit SHA. Trailing comment with the version helps reviewers: `uses: actions/checkout@8e5e7e5ab8b370d6c329ec480221332ada57f0ab # v4.1.1` Automate the migration with `pinact` (https://github.com/suzuki-shunsuke/pinact) or `ratchet` (https://github.com/sethvargo/ratchet). Add a `pinact run --check` pre-commit hook so future PRs stay pinned. Re-pin when the action releases a new version — Dependabot can do this automatically with `version-update-strategy: inc