Mcp builder
My comprehensive, tested + audited, library of skills to use for ChatGPT.
npx -y skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builderAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
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Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.
SKILL.md
1.5 KB, as published. Nobody here has run it
MCP Builder
Build MCP servers around user workflows, not raw API endpoints.
Workflow
- Read the target API docs and identify the workflows an agent must complete end to end.
- Design a small tool surface with high-signal outputs, clear identifiers, and actionable errors.
- Implement shared infrastructure first: auth, request helpers, pagination, truncation, and formatting.
- Add tool schemas and docstrings that make correct usage obvious.
- 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.mdfor design principles that apply to every server.references/python_mcp_server.mdfor Python implementation patterns.references/node_mcp_server.mdfor TypeScript implementation patterns.scripts/connections.pyandscripts/evaluation.pyas 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.