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mcp-builder

Use when asked to create an MCP server to integrate an API or service in Python or TypeScript. Not for remote, credential, publish, deploy, or irreversible changes.

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  • SKILL.md5.0 KB
  • agents/openai.yaml159 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

MCP builder

Contract

FieldBound contract
TriggerCreating an MCP server to integrate an API or service in Python or TypeScript.
AuthorityReversible local: writes only named project files; rollback is deleting the project directory. No remote mutation.
Side effectA new MCP server project with typed tools, tests, and a read-only evaluation suite.
DoneServer builds, registers tools with correct Zod/Pydantic schemas and annotations, passes MCP inspector, and has 16 stable read-only evaluations with verified answers.

Inputs

  • API or service specification (required): endpoint list, auth method, request/response shapes, or OpenAPI/GraphQL schema describing the service to integrate.
  • Language (required): python or typescript.
  • Project directory (required): target path for the new MCP server project.
  • Tool design intent (optional): which operations to expose as MCP tools and any annotation hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint).

Procedure

  1. Validate inputs: confirm the API specification is parseable, the language is python or typescript, and the project directory does not already exist or is empty. Done when: all three validations pass or the run stops with the specific failure.
  2. Scaffold the project. TypeScript: initialize with pnpm init, then run pnpm add @modelcontextprotocol/sdk zod; create src/index.ts as the server entry point. Python: initialize with uv init, install mcp and pydantic; create server.py as the server entry point. Done when: the project directory exists with the entry point file and dependencies installed.
  3. For each API operation to expose as a tool: define the tool with server.tool() using a descriptive kebab-case name, a human-readable description, and input schema (TypeScript: Zod object; Python: Pydantic model). Set MCP annotations: readOnlyHint for GET-like operations, destructiveHint for delete/mutate operations, idempotentHint for safe retries, openWorldHint when the tool calls external services. Implement the handler: call the target API, validate the response against the expected shape, and return structured content (text or resource) with a type field. Done when: every tool is defined with schema, annotations, and a returning handler.
  4. Build and verify the server compiles. TypeScript: run pnpm exec tsc --noEmit. Python: run python -c "import server" or pyright server.py. Done when: the build exits 0.
  5. Create the test suite with exactly 16 read-only evaluations. Each evaluation invokes one tool via the MCP inspector or a direct stdio client call with fixed input and has a pre-recorded verified expected output stored alongside the test. Cover: at least one happy-path call per tool, at least one error/edge case per tool, at least one schema-validation boundary test, and at least one annotation-correctness check. TypeScript: use vitest or jest. Python: use pytest. Done when: 16 evaluations exist with the required coverage and verified expected outputs.
  6. Run all 16 evaluations and confirm every one passes with the expected output. Done when: all 16 evaluations pass.
  7. Run the MCP inspector against the running server to confirm tool registration, schema correctness, and annotation presence. Done when: the inspector confirms every tool's registration, schema, and annotations.

Failure and recovery

Failure classDetectionRecovery
Build failureCompiler/type-checker exit code non-zeroFix the syntax or import error in the generated source; re-run the build step.
Schema mismatchMCP inspector rejects a tool registration or Zod/Pydantic validation fails at runtimeCorrect the input schema definition to match the API spec; re-register the tool.
Evaluation failureAny of the 16 evaluations returns output differing from the verified expected outputFix the tool handler logic; update the expected output only if the API behavior changed (not to force a pass).
MCP inspector failureInspector reports protocol violation or missing annotationsFix the server entry point or annotation configuration; re-run inspector.

Partial results rule: if the server builds but evaluations fail, keep the project directory and report which evaluations failed. Do not delete partial work.

Rollback: delete the project directory to reverse all side effects.

Blocked result: if the API specification is unparseable or the language is unsupported, stop and report the specific validation failure. Do not proceed with scaffolding.

Output

A complete MCP server project: server entry point with all tools registered, tool definitions with typed schemas and annotations, test suite with 16 read-only evaluations, and build/inspector/evaluation results, ordered by the procedure steps that produced them.

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