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/mcp-builder

@103b430

Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.

Use this Skill: https://skilld.dev/gh/dkyazzentwatwa/chatgpt-skills/mcp-builder

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SKILL.md

≈40 tokens always: the name and description. ≈330 when used: this file. ≈26k more on demand in 5 files.

MCP Builder

Build MCP servers around user workflows, not raw API endpoints.

Workflow

  1. Read the target API docs and identify the workflows an agent must complete end to end.
  2. Design a small tool surface with high-signal outputs, clear identifiers, and actionable errors.
  3. Implement shared infrastructure first: auth, request helpers, pagination, truncation, and formatting.
  4. Add tool schemas and docstrings that make correct usage obvious.
  5. Evaluate the server with realistic tasks before expanding scope.

Principles

  • Prefer workflow tools over thin endpoint wrappers.
  • Return concise, high-signal responses by default.
  • Use human-readable identifiers whenever possible.
  • Make error messages corrective: tell the agent what to try next.
  • Design for limited context and large datasets.

Resources

  • references/mcp_best_practices.md for design principles that apply to every server.
  • references/python_mcp_server.md for Python implementation patterns.
  • references/node_mcp_server.md for TypeScript implementation patterns.
  • scripts/connections.py and scripts/evaluation.py as repo-local helpers.

Deliverables

  • A concrete tool inventory tied to user workflows.
  • Strict input/output schemas.
  • Evaluation prompts or scripts that confirm the server is usable by an agent.

Source: SKILL.md on GitHub

1 warning11d5 checks · Risk SAFE
  • Gen Agent Trust Hub11d

    The mcp-builder skill is a developer toolkit for designing, implementing, and evaluating Model Context Protocol (MCP) servers. It includes connection scripts and a benchmarking harness. The analysis identified standard command execution for testing purposes and a potential surface for indirect prompt injection inherent in evaluation tools that process third-party server outputs.

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  • Snyk11d

    Risk: LOW · No issues

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  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 103b430. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Steadyupdated 6 months ago

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