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.
npx -y skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builder --agent claude-codeInstalls into .claude/skills of the current project.
Build MCP servers around user workflows, not raw API endpoints.
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.sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot