Pipe-MCP
About
Pipe-MCP is a simple Model Context Protocol (MCP) server implementation for building AI assistants with specialized tools. It integrates with any MCP-compatible client (e.g., Claude Desktop, Claude.ai) and provides built‑in Pipedrive CRM tools.
Details
- Author
- Wirasm
- Downloads
- 236
- Categories
- Other
Jump to
- Simple MCP server implementation using FastMCP
- Context management and lifecycle handling
- Demo echo tool for testing
- Integrated Pipedrive CRM API tools
- Support for both SSE and stdio transports
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
Pipe-MCPCommand (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
Clone the repository, install dependencies with uv, and configure environment variables (e.g., PIPEDRIVE_API_TOKEN). Run the server using uv run src/main.py (local) or via Docker. Connect an MCP client by providing a JSON configuration that specifies either SSE or stdio transport. The server supports both SSE (web) and stdio (CLI) transports.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"pipe-mcp": {
"pipedrive-mcp": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}
}McpServers
{
"pipedrive-mcp": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}Pipe-MCP
A simple Model Control Protocol (MCP) server implementation for building AI assistants with specialized tools.
Overview
This project provides a foundation for creating MCP servers that can be integrated with any MCP-compatible client like Claude Desktop, Claude.ai, or custom applications. The server allows AI assistants to access specialized tools through the MCP protocol.
Features
- Simple MCP server implementation with FastMCP
- Context management and lifecycle handling
- Demo echo tool implementation
- Integrated Pipedrive CRM API tools
- Support for both SSE (web) and stdio (CLI) transports
Prerequisites
- Python 3.12+
- uv (recommended for package management)
- Docker (optional, for containerized deployment)
Installation
Using uv (Local Development)
```bash
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