mcp-builder
Build MCP Servers for Claude Integration
Also available from: 92Bilal26,92Bilal26,ArtemisAI,ZhanlinCui,AutumnsGrove,Azeem-2,Doyajin174,DYAI2025,YYH211,Cam10001110101,mcp-use,ComposioHQ,davila7
Creating MCP servers requires understanding protocol design, tool patterns, and testing strategies. This guide provides step-by-step instructions for building production-ready MCP servers in Python or TypeScript that integrate seamlessly with Claude and other LLM platforms.
Download the skill ZIP
Upload in Claude
Go to Settings → Capabilities → Skills → Upload skill
Toggle on and start using
Test it
Using "mcp-builder". Create a Python MCP server for a GitHub API with repository search and issue tracking tools
Expected outcome:
- • Tool: github_search_repositories - Searches repos with query, limit, and sort parameters
- • Tool: github_get_issue - Fetches issue details with owner, repo, and issue number
- • Input validation: Pydantic models with Field descriptions and regex constraints
- • Error handling: Sanitized messages that help without exposing internals
- • Pagination: Returns has_more flag and next_offset for large result sets
Using "mcp-builder". Build a TypeScript MCP server that connects to a PostgreSQL database
Expected outcome:
- • Transport: Streamable HTTP for remote client connections
- • Tool: database_query - Executes read-only SQL with parameter validation
- • Security: DNS rebinding protection, connection pooling, query timeouts
- • Response: JSON for programmatic use, Markdown for human readability
- • Testing: stdio transport for local development, HTTP for production
Security Audit
SafeOfficial Anthropic skill containing documentation and evaluation harness for MCP server development. The skill provides guidance only and contains no harmful code patterns. Subprocess execution in evaluation scripts is explicitly for testing MCP servers via stdio transport and is well-documented as part of the evaluation workflow.
Risk Factors
⚡ Contains scripts (2)
Quality Score
What You Can Build
Integrate External APIs
Transform any REST API into an MCP server that Claude can call natively with proper authentication and error handling.
Build Custom Tools
Create specialized MCP servers exposing internal company tools and services to Claude with enterprise security controls.
Test MCP Quality
Evaluate MCP server effectiveness using the automated harness to measure tool accuracy and response quality.
Try These Prompts
Help me create a new MCP server in Python using FastMCP for a weather API. Include proper tool design, input validation with Pydantic, and error handling.
Add OAuth 2.1 authentication to my TypeScript MCP server. Show me how to handle authorization headers securely and protect against common attacks.
Review my current MCP server tools and improve the naming conventions, descriptions, and input schemas following MCP best practices.
Create a comprehensive evaluation file with test questions for my MCP server. Include edge cases and multi-step tasks that test real-world usage.
Best Practices
- Name tools with consistent prefixes matching the service name, like weather_get_forecast rather than get_weather
- Validate all inputs using Zod (TypeScript) or Pydantic (Python) with descriptive error messages
- Test MCP servers with the evaluation harness before deployment to ensure reliable tool behavior
Avoid
- Avoid generic tool names like query or fetch that do not indicate the target service or resource
- Do not return raw internal error messages that could expose implementation details to users
- Avoid tools that perform multiple unrelated operations in a single call