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MCP Servers

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Collection of Model Context Protocol (MCP) servers and setup instructions

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Overview

MCP Servers is a collection of Model Context Protocol (MCP) servers and setup instructions designed to enhance the capabilities of AI assistants like Claude by allowing them to interact with external tools and resources.

To use MCP Servers, navigate to the specific server's directory in the repository for detailed documentation on installation and usage. Each server provides unique functionalities, such as API interactions.

  • Standardized interaction with external tools through the Model Context Protocol (MCP). - Detailed setup instructions for each server. - Capability to extend AI functionalities by accessing APIs and databases.
  1. Integrating AI assistants with GitHub for automated tasks.
  2. Accessing external databases to retrieve or store information.
  3. Enhancing AI capabilities by connecting to various APIs.

Add to your AI client

Use these steps to connect MCP Servers in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-servers-censini": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-servers-censini"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-servers-censini": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-servers-censini"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-servers-censini": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-servers-censini"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-servers-censini": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-servers-censini"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-servers-censini": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-servers-censini"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-servers-censini": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-servers-censini"
      ]
    }
  }
}

FAQ

What is the Model Context Protocol (MCP)?

MCP is a standardized way for AI assistants to interact with external tools and resources, enabling enhanced functionalities.

How do I install an MCP server?

Each MCP server has its own directory with detailed installation instructions. Please refer to the specific server's documentation.

Can I contribute to MCP Servers?

Yes! Contributions are welcome. Please check the repository for guidelines on how to contribute.

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