What is MCP Server Boilerplate?
MCP Server Boilerplate is a production-ready, extensible boilerplate for building Model Context Protocol (MCP) servers in Python. It provides a modular foundation for creating, extending, and deploying MCP servers that expose tools, prompts, and resources to LLMs and agentic clients.
How to use MCP Server Boilerplate?
To use the MCP Server Boilerplate, configure your environment by copying .env.example to .env, install dependencies, and run the server using the desired transport layer (STDIO, SSE, or HTTP). You can also run it using Docker or Docker Compose for easier management.
Key features of MCP Server Boilerplate?
- Multi-Transport Support (STDIO, SSE, HTTP)
- Modular Tools/Prompts/Resources for easy extension
- Type-Safe Input Validation using Pydantic
- Security Best Practices including directory sandboxing
- Extensible and Maintainable architecture
- Production-Ready with logging and Docker support
- Comprehensive Documentation for users and contributors
Use cases of MCP Server Boilerplate?
- Rapidly developing custom MCP servers for various applications.
- Integrating with LLMs and agentic clients for enhanced functionality.
- Testing and deploying server implementations in a secure environment.
FAQ from MCP Server Boilerplate?
- Is this boilerplate suitable for production use?
Yes, it is designed to be production-ready with best practices in place.
- Can I extend the boilerplate with my own tools?
Absolutely! You can create and register new tools, prompts, and resources easily.
- What transport layers are supported?
The boilerplate supports STDIO, SSE, and HTTP transport layers.