MCPioneer π
Description
# MCPioneer π **Build Your Own Custom MCP Server for AI Agents** MCPioneer is a beginner-friendly project demonstrating how to create a custom MCP (Message/Command/Processing) server using Python. This server acts as a bridge to extend the capabilities of AI agents, allowingβ¦
About
# MCPioneer π **Build Your Own Custom MCP Server for AI Agents** MCPioneer is a beginner-friendly project demonstrating how to create a custom MCP (Message/Command/Processing) server using Python. This server acts as a bridge to extend the capabilities of AI agents, allowing them to perform external tasks like callingβ¦
Details
- Author
- 2nithin2
- Downloads
- 171
- Categories
- Other
Jump to
- Beginnerβfriendly demonstration of building an MCP server.
- Built with Python 3.10+ and MXGp Python SDK.
- Uses UV Package Manager for dependency management.
- Tested with Claude Desktop.
- Provides tools, resources, and services for AI agents.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCPioneer πCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install UV package manager, then initialize the project with uv init . and uv add mcp cli. Create a main.py file using the FastMCP SDK to define tools and resources, then run uv run mcp install main.py to install the server into Claude Desktop. Configure Claude Desktop via Settings β Developer β Edit Config and restart if needed.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcpioneer \ud83d\ude80": {
"Custom-MCP-Server-for-AI-Agents": {
"command": "uv",
"args": [
"init",
"."
]
}
}
}
}
McpServers
{
"Custom-MCP-Server-for-AI-Agents": {
"command": "uv",
"args": [
"init",
"."
]
}
}
MCPioneer π
Build Your Own Custom MCP Server for AI Agents MCPioneer is a beginner-friendly project demonstrating how to create a custom MCP (Message/Command/Processing) server using Python. This server acts as a bridge to extend the capabilities of AI agents, allowing them to perform external tasks like calling APIs, accessing databases, and executing custom tools. ---π What is MCP?
An MCP server provides tools, resources, and services that AI agents can access to enhance their functionalities. Think of it as a "toolbox" that an AI can open whenever it needs external help beyond its basic capabilities. ---βοΈ Technologies Used
- Python 3.10+ - MXGp Python SDK - UV Package Manager - Claude Desktop (for testing) ---π Getting Started
1. Install UV (Better Package Manager)
- Windows: ``bash
iwr -useb https://mirror.ghproxy.com/https://raw.githubusercontent.com/astral-sh/uv/main/scripts/install.ps1 | iex
`
- Mac/Linux:
`bash
curl -LsSf https://astral.sh/uv/install.sh | sh
`
2. Initialize Project
`bash
uv init .
uv add mcp cli
`
3. Create a Simple MCP Server
Example main.py:
`python
from mcp_servers.fast_mcp import FastMCP
server = FastMCP(name="DemoServer")
@server.tool
def add_numbers(a: int, b: int) -> int:
return a + b
@server.resource
def greet(name: str) -> str:
return f"Hello, {name}!"
server.run()
`
4. Install MCP Server into Claude Desktop
`bash
uv run mcp install main.py
`
5. Configure Claude Desktop
- Go to Settings β Developer β Edit Config.
- Add your server to the configurations manually if necessary.
- Restart Claude Desktop if you don't see the MCP server immediately.
---
π οΈ Project Structure
`
MCPioneer/
βββ main.py
βββ README.md
βββ .venv/ (created automatically)
βββ uv.toml
``
---
---
β¨ Author
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