
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/composio-community/awesome-claude-plugins --skill mcp-builder- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads mcp-builder automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
MCP Server Development Guide
Overview
To create high-quality MCP (Model Context Protocol) servers that enable LLMs to effectively interact with external services, use this skill. An MCP server provides tools that allow LLMs to access external services and APIs.
High-Level Workflow
Creating a high-quality MCP server involves four main phases:
Phase 1: Deep Research and Planning
Agent-Centric Design Principles
Build for Workflows, Not Just API Endpoints:
- Don't simply wrap existing API endpoints - build thoughtful, high-impact workflow tools
- Consolidate related operations (e.g.,
schedule_eventthat both checks availability and creates event) - Focus on tools that enable complete tasks, not just individual API calls
Optimize for Limited Context:
- Agents have constrained context windows - make every token count
- Return high-signal information, not exhaustive data dumps
- Provide "concise" vs "detailed" response format options
- Default to human-readable identifiers over technical codes
Design Actionable Error Messages:
- Error messages should guide agents toward correct usage patterns
- Suggest specific next steps: "Try using filter='active_only' to reduce results"
- Make errors educational, not just diagnostic
Study MCP Protocol Documentation
Fetch the latest MCP protocol documentation:
Use WebFetch to load: https://modelcontextprotocol.io/llms-full.txt
For Python implementations:
- Python SDK:
https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md
For Node/TypeScript implementations:
- TypeScript SDK:
https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md
Phase 2: Implementation
Set Up Project Structure
For Python:
- Create a single
.pyfile or organize into modules if complex - Use the MCP Python SDK for tool registration
- Define Pydantic models for input validation
For Node/TypeScript:
- Create proper project structure
- Set up
package.jsonandtsconfig.json - Use MCP TypeScript SDK
- Define Zod schemas for input validation
Implement Core Infrastructure First
Create shared utilities before implementing tools:
- API request helper functions
- Error handling utilities
- Response formatting functions (JSON and Markdown)
- Pagination helpers
- Authentication/token management
Implement Tools Systematically
For each tool:
Define Input Schema:
- Use Pydantic (Python) or Zod (TypeScript) for validation
- Include proper constraints (min/max length, regex patterns)
- Provide clear, descriptive field descriptions
Write Comprehensive Docstrings:
- One-line summary of what the tool does
- Detailed explanation of purpose and functionality
- Explicit parameter types with examples
- Complete return type schema
- Usage examples
Add Tool Annotations:
readOnlyHint: true (for read-only operations)destructiveHint: false (for non-destructive operations)idempotentHint: true (if repeated calls have same effect)openWorldHint: true (if interacting with external systems)
Phase 3: Review and Refine
Code Quality Review
Review the code for:
- DRY Principle: No duplicated code between tools
- Composability: Shared logic extracted into functions
- Consistency: Similar operations return similar formats
- Error Handling: All external calls have error handling
- Type Safety: Full type coverage
- Documentation: Every tool has comprehensive docstrings
Phase 4: Create Evaluations
Create comprehensive evaluations to test MCP server effectiveness.
Each evaluation question must be:
- Independent: Not dependent on other questions
- Read-only: Only non-destructive operations required
- Complex: Requiring multiple tool calls and deep exploration
- Realistic: Based on real use cases
- Verifiable: Single, clear answer that can be verified
Best Practices Summary
- Build for workflows, not just API endpoints
- Optimize for limited context windows
- Design actionable error messages
- Follow natural task subdivisions
- Use evaluation-driven development
- Study framework documentation thoroughly
- Implement core infrastructure first
- Add proper tool annotations
- Test with realistic scenarios
FAQ
What does the mcp-builder skill do?
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
How do I install mcp-builder?
Run npx skills add https://github.com/composio-community/awesome-claude-plugins --skill mcp-builder in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/mcp-builder/ (personal) or .claude/skills/mcp-builder/ (project).
Which AI agents can use mcp-builder?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is mcp-builder safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains mcp-builder?
It is published by composio-community in composio-community/awesome-claude-plugins. It has 1,624 recorded installs.
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