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servers

by modelcontextprotocol90.8kTypeScriptUpdated 2026-10-01

Model Context Protocol Servers

Claude Desktop

The Model Context Protocol Servers repository provides official reference implementations of MCP servers that demonstrate how to connect large language models to tools and data sources. Maintained by the MCP steering group, it includes educational examples like filesystem access, Git operations, web fetching, and knowledge graph memory systems. These servers showcase best practices for building MCP integrations using the official SDKs across ten programming languages. Developers use these as templates and learning resources when creating their own MCP servers.

Key Features

Seven actively maintained reference servers including Everything, Fetch, Filesystem, Git, Memory, Sequential Thinking, and Time
Educational implementations demonstrating MCP protocol features and SDK usage patterns
Multi-language support with official SDKs for TypeScript, Python, C#, Go, Java, Kotlin, PHP, Ruby, Rust, and Swift
TypeScript servers installable directly via npx without manual setup
Python servers available through uvx or pip for immediate use
Configurable security controls and access restrictions per server
Knowledge graph-based persistent memory system for contextual retention
Git repository manipulation, web content fetching, and filesystem operations with sandboxing

Use Cases

  • 01Learning how to build custom MCP servers by studying reference implementations
  • 02Enabling LLMs to read and manipulate Git repositories with controlled access
  • 03Providing AI assistants with secure filesystem access within defined directories
  • 04Fetching and converting web content for efficient LLM processing
  • 05Implementing persistent knowledge graphs for long-term AI memory
  • 06Understanding MCP SDK usage patterns across different programming languages

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servers — FAQ

What are Model Context Protocol reference servers?+

These are official example implementations of MCP servers maintained by the Model Context Protocol steering group. They demonstrate how to build MCP integrations and are intended for educational purposes, not production deployment without additional security review.

How do I install an MCP server from this repository?+

TypeScript servers can be run directly with npx (e.g., 'npx -y @modelcontextprotocol/server-memory'). Python servers use uvx (e.g., 'uvx mcp-server-git') or pip. You then configure them in your MCP client like Claude Desktop.

Which AI clients work with these MCP servers?+

These servers work with any MCP-compatible client, with Claude Desktop being the primary example shown in the documentation. Configure the server command and arguments in your client's MCP settings JSON file.

Do I need API keys to use these reference servers?+

Most reference servers like Filesystem, Git, Memory, and Time require no API keys. They operate on local resources or built-in capabilities without external service authentication.

Are these MCP servers free to use?+

Yes, all reference servers are open source and free to use under the Apache License 2.0 for new contributions and MIT for existing code. They are maintained by Anthropic and the community.

Can I use these servers in production applications?+

These are reference implementations meant for education and development examples. Developers should evaluate security requirements and implement appropriate safeguards for their specific use case before production deployment.

How do I install servers?+

Open the source repository on GitHub and follow its README. servers is a mcp server — MCP Agents Market links you directly to the official repo.

Is servers free?+

servers is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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