$ loading_
Build MCP servers quickly with FastAPI and FastMCP for AI-accessible tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-template" yet — see the docs or source repo.
Using FastAPI and FastMCP, generate an MCP server template project structure with placeholders for custom business logic tools.
A base project structure and sample endpoints for quickly developing an MCP server.
Wrap this internal business logic as an MCP tool and expose it through FastMCP for AI use: order status lookup, parameter validation, and standardized results.
Tool definitions and server-side handling logic that AI systems can access.
Create a service template that integrates FastAPI routes and FastMCP tools to provide both HTTP APIs and AI tool capabilities.
A service template design that combines web APIs with MCP capabilities.
Developers can use this template to quickly start an MCP server when they need to expose internal business logic to AI assistants, reducing repetitive setup work.
When a team wants to maintain both standard API services and AI tool interfaces, this template can serve as a unified starting point.
It is a template integrating FastAPI and FastMCP to quickly build MCP servers and expose custom business logic as tools callable by AI.
It is best suited for developers or engineering teams building MCP services or handling service integrations. It focuses on quickly setting up a template rather than providing end-user features out of the box.
The provided information only indicates that it is based on FastAPI and FastMCP. For exact installation steps, dependencies, and runtime requirements, see the source repository.
Build a high-performance personal MCP server with the FastMCP Python framework.
Build a production-ready FastMCP server with HTTPS and OAuth support.
Build and manage MCP servers and clients quickly with Python.
Bootstrap MCP servers quickly and extend tools with a built-in CLI.
Quickly scaffold production-ready MCP servers with auth, config, and knowledgebase support.
Build an MCP server with FastMCP and create tools for LLM workflows.