servers
Reference implementation of the Model Context Protocol, showcasing MCP features and SDK usage.
- Type
- MCP
- Transport
- stdio
- Open source
- Yes
- GitHub Stars
- ★ 87.6k
- Source
- mcp-github
- Repository
- github.com/modelcontextprotocol/servers
Overview
Model Context Protocol Servers are a set of reference implementations designed to demonstrate MCP capabilities and the use of the official SDK. These servers provide secure, controlled access to tools and data sources for large language models (LLMs). Each MCP server is typically implemented using the MCP SDK and supports multiple programming languages. Through these servers, developers can learn how to build their own MCP servers and understand how to integrate LLMs with various tools and data sources.
Capabilities
- ▪Web content scraping and transformation
- ▪Secure file operations
- ▪Git repository management
- ▪Knowledge graph persistent storage
- ▪Dynamic problem solving
- ▪Time and timezone conversion
Use cases
Setup
TypeScript-based servers can be started directly using `npx`, for example: `npx -y @modelcontextprotocol/server-memory`. Python-based servers can be launched using `uvx` or `pip`, for example: `uvx mcp-server-git` or `pip install mcp-server-git` followed by running `python -m mcp_server_git`.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
Are these servers suitable for production environments?
These servers are reference implementations primarily intended for educational purposes and are not suitable for direct use in production.
How can I find more information about MCP servers?
You can browse published servers in the MCP registry: https://registry.modelcontextprotocol.io/
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