Custom Mcp Server
What is Custom Mcp Server
Custom-MCP-Server is a Python-based implementation of the Model Context Protocol (MCP), which allows AI assistants to securely connect to external data sources and tools, enabling the creation of custom functions and APIs.
Use cases
Use cases include building AI assistants that can access local files, databases, or web services, and creating reusable tools that work across different AI platforms.
How to use
To use Custom-MCP-Server, initialize your project with ‘uv init .’, add MCP to your dependencies with ‘uv add “mcp[cli]”’, and run the server using ‘uv run mcp install main.py’.
Key features
Key features include easy integration with Claude Desktop, an extensible architecture for adding new tools, secure communication via stdio transport, and hot-reload functionality during development.
Where to use
Custom-MCP-Server can be used in various fields such as AI development, data integration, and creating custom tools for AI platforms.
Overview
What is Custom Mcp Server
Custom-MCP-Server is a Python-based implementation of the Model Context Protocol (MCP), which allows AI assistants to securely connect to external data sources and tools, enabling the creation of custom functions and APIs.
Use cases
Use cases include building AI assistants that can access local files, databases, or web services, and creating reusable tools that work across different AI platforms.
How to use
To use Custom-MCP-Server, initialize your project with ‘uv init .’, add MCP to your dependencies with ‘uv add “mcp[cli]”’, and run the server using ‘uv run mcp install main.py’.
Key features
Key features include easy integration with Claude Desktop, an extensible architecture for adding new tools, secure communication via stdio transport, and hot-reload functionality during development.
Where to use
Custom-MCP-Server can be used in various fields such as AI development, data integration, and creating custom tools for AI platforms.
Content
🛠 Custom MCP Server - Python
Build and run your own Model Context Protocol (MCP) server using Python. This tutorial shows you how to create custom tools and resources that can be used by AI assistants like Claude Desktop.
🤔 What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools. By building an MCP server, you can:
- Expose custom functions and APIs to AI assistants
- Provide access to local files, databases, or web services
- Create reusable tools that work across different AI platforms
- Build secure, sandboxed integrations
🚀 Features
- Custom MCP server implementation in Python
- Easy integration with Claude Desktop
- Extensible architecture for adding new tools
- Secure communication via stdio transport
- Hot-reload during development
📦 Prerequisites
Make sure you have the following installed:
- Python 3.8+
- uv - Modern Python package manager
- Claude Desktop - For testing your MCP server
⚙️ Quick Start
1. Initialize Project
# Initialize with uv
uv init .
2. Add MCP to your project dependencies
uv add "mcp[cli]"
3. Run MCP Server
uv run mcp install main.py