Example Servers

A list of example servers and implementations

This page showcases various Model Context Protocol (MCP) servers that demonstrate the protocol’s capabilities and versatility. These servers enable Large Language Models (LLMs) to securely access tools and data sources.

Reference implementations

These official reference servers demonstrate core MCP features and SDK usage:

Current reference servers

• Filesystem - Secure file operations with configurable access controls
• Fetch - Web content fetching and conversion optimized for LLM usage
• Memory - Knowledge graph-based persistent memory system
• Sequential Thinking - Dynamic problem-solving through thought sequences

Archived servers (historical reference)

⚠️ Note: The following servers have been moved to the servers-archived repository and are no longer actively maintained. They are provided for historical reference only.

Data and file systems

• PostgreSQL - Read-only database access with schema inspection capabilities
• SQLite - Database interaction and business intelligence features
• Google Drive - File access and search capabilities for Google Drive

Development tools

• Git - Tools to read, search, and manipulate Git repositories
• GitHub - Repository management, file operations, and GitHub API integration
• GitLab - GitLab API integration enabling project management
• Sentry - Retrieving and analyzing issues from Sentry.io

Web and browser automation

• Brave Search - Web and local search using Brave’s Search API
• Puppeteer - Browser automation and web scraping capabilities

Productivity and communication

• Slack - Channel management and messaging capabilities
• Google Maps - Location services, directions, and place details

AI and specialized tools

• EverArt - AI image generation using various models
• AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime

Official integrations

Visit the MCP Servers Repository (Official Integrations section) for a list of MCP servers maintained by companies for their platforms.

Community implementations

Visit the MCP Servers Repository (Community section) for a list of MCP servers maintained by community members.

Getting started

Using reference servers

TypeScript-based servers can be used directly with npx:

npx -y @modelcontextprotocol/server-memory

Python-based servers can be used with uvx (recommended) or pip:

# Using uvx
uvx mcp-server-git

# Using pip
pip install mcp-server-git
python -m mcp_server_git

Configuring with Claude

To use an MCP server with Claude, add it to your configuration:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    },
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/files"
      ]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

Additional resources

Visit the MCP Servers Repository (Resources section) for a collection of other resources and projects related to MCP.

Visit our GitHub Discussions to engage with the MCP community.

Assistant

Responses are generated using AI and may contain mistakes.