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MCP Server

by avinash539

MCP Server is a Model Context Protocol (MCP) server implementation that provides tools for AI agents and LLMs. It includes search capabilities powered by SearXNG and file system operations.

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What is MCP Server?

MCP Server is an implementation of the Model Context Protocol, offering a set of tools accessible to AI agents and LLMs. It facilitates web searches via SearXNG and provides secure file system operations, all within an extensible architecture.

How to use MCP Server?

The server can be deployed using Docker or directly with Python. Configure environment variables for SearXNG and other settings. Interact with the server using client libraries or the command-line interface. See the provided examples for client usage and integration with Claude Desktop.

Key features of MCP Server

  • Web Search with SearXNG integration

  • Secure File System Operations

  • Extensible Architecture for custom tools

  • Docker and docker-compose support for easy deployment

  • Command-line Interface for management

  • Full MCP specification support for resources and prompts

Use cases of MCP Server

  • Enabling AI agents to perform web searches

  • Providing LLMs with access to local files

  • Building custom tools for AI workflows

  • Integrating AI agents with existing systems

  • Creating context-aware AI applications

FAQ from MCP Server

What is the Model Context Protocol (MCP)?

The Model Context Protocol is a specification for how AI models can interact with external tools and resources.

How do I add a custom tool to the MCP Server?

You can add custom tools using either the FastMCP decorator approach or the original architecture, as described in the documentation and examples.

What is SearXNG and why is it used?

SearXNG is a privacy-respecting metasearch engine. It's used to provide web search functionality to AI agents through the MCP Server.

How do I configure the SearXNG instance URL?

Configure the MCP_SEARXNG__INSTANCE_URL environment variable to point to your SearXNG instance.

What are the two different implementation approaches?

The FastMCP decorator approach is a simplified method using decorators, while the original architecture offers more flexibility for complex applications but requires more boilerplate code.