What problem does it solve?
MCP servers give LLMs a safe, structured interface to interact with external services by exposing tools, resources, and transports. They address the gap between LLM reasoning and real-world system integration by providing typed inputs/outputs, consistent error handling, and discoverable tool APIs.
Core Features & Use Cases
- Typed tool definitions with input validation and clear descriptions.
- Multiple transport options (stdio and streamable HTTP) for local and remote deployments.
- Cross-language support (Python and TypeScript) with SDK-driven patterns.
- Consistent error handling, logging, and security considerations to enable reliable automation.
- Example use: create a small MCP server that exposes a tool to fetch data from an external API and return structured results.
Quick Start
Use the mcp-builder skill to scaffold a minimal MCP server in either Python or TypeScript, register a sample tool, and run it with stdio transport to verify tool invocation.