MCP Server
by wolderufael
This repository provides an example implementation of a Model Context Protocol (MCP) server. It demonstrates how to build a functional MCP server that can integrate with various LLM clients, providing context to LLMs.
Last updated: N/A
What is MCP Server?
An MCP server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol, allowing host applications to access data and tools for LLMs. It acts as an intermediary between data sources and LLM clients, providing resources, tools, and prompts.
How to use MCP Server?
To use the MCP server, first install the required system requirements (Python 3.10+, MCP SDK 1.2.0+, uv package manager). Then, clone the repository, set up a virtual environment, install dependencies using uv venv sync
, and start the server with uv run main.py
. Finally, configure your LLM client (e.g., Cursor AI) to connect to the server by specifying the command and arguments in the client's configuration file.
Key features of MCP Server
Standardized protocol for LLM context
Integration with various data sources and tools
Provides resources, tools, and prompts
Client-server architecture
Growing list of pre-built integrations
Flexibility to switch between LLM providers
Use cases of MCP Server
Providing API responses to LLMs
Providing file contents to LLMs
Enabling LLMs to call functions with user approval
Using pre-written templates for specific tasks
FAQ from MCP Server
What is MCP?
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs.
What are the core concepts of MCP?
What are the core concepts of MCP?
MCP servers can provide resources, tools, and prompts to LLM clients.
What are MCP Hosts?
What are MCP Hosts?
Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP
What are MCP Clients?
What are MCP Clients?
Protocol clients that maintain 1:1 connections with servers
What are MCP Servers?
What are MCP Servers?
Lightweight programs that expose specific capabilities through the standardized Model Context Protocol