Summary
If you're building an MCP server and want to avoid the usual trap of wrapping every API endpoint into a thin tool, this walks you through a workflow-first approach. It pushes you to identify the actual tasks an agent needs to complete, design a minimal tool surface with high-signal outputs, and build shared infrastructure like auth and pagination before you write schemas. The emphasis on corrective error messages and evaluation scripts is smart. It includes best practices docs and Python/TypeScript implementation references. Useful if you're past hello world and want your server to actually work in production with real context limits.
Install to Claude Code
npx -y skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builder --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.mdView on GitHub
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.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →First SeenJun 3, 2026
