docs-MCP-server

docs-MCP-server

2.5
developer_tools

This project provides an implementation of a Model Context Protocol (MCP) server, designed to facilitate standardized integration with large language model (LLM) clients. It offers benefits such as pre-built integrations and secure data handling practices.

MCP Server Example

This repository contains an implementation of a Model Context Protocol (MCP) server for up-to-date documentation.

What is MCP?

  • MCP is an open protocol that standardizes how applications provide context to LLMs.
  • It provides a standardized way to connect AI models to different data sources and tools.

Key Benefits

  • Pre-built integrations for LLMs
  • Flexibility to switch between LLM providers
  • Secure data practices

Architecture Overview

  • MCP Hosts: Programs that access data through MCP
  • MCP Clients: 1:1 connections with servers
  • MCP Servers: Expose capabilities through MCP

Core MCP Concepts

  • Resources: File-like data readable by clients
  • Tools: Functions callable by LLM
  • Prompts: Pre-written templates for specific tasks

System Requirements

  • Python 3.10+
  • MCP SDK 1.2.0+
  • uv package manager

Getting Started

  • Install the uv package manager
  • Clone and initialize the project
  • Start the MCP server using uv command

Connecting to Cursor ai

  • Install and configure Cursor to use the MCP server.

License

Licensed under the MIT License.