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Pipe-MCP

@Wirasm

关于 Pipe-MCP

This is a POC pipedrive MCP server

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

Wirasm

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "pipedrive-mcp": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Pipe-MCP?

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.

How to use Pipe-MCP?

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.

Key features of Pipe-MCP

  • 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

Use cases of Pipe-MCP

  • Build AI assistants that can read and write Pipedrive deals
  • Search and manage Pipedrive contacts and organizations via natural language
  • Create custom tools for MCP-compatible clients (e.g., Claude Desktop)
  • Prototype and test MCP server features with the built‑in echo tool

FAQ from Pipe-MCP

What transports does Pipe-MCP support?

Pipe-MCP supports both SSE (for web clients) and stdio (for CLI integration or MCP clients like Claude Desktop).

What runtime dependencies are required?

Python 3.12+, uv (recommended for package management), and optional Docker for containerized deployment.

How do I authenticate with Pipedrive?

Set the environment variable PIPEDRIVE_API_TOKEN with your Pipedrive API token. Obtain the token from your Pipedrive account.

Where does data live?

Pipedrive data lives in the Pipedrive cloud. The server configuration (host, port, transport) is set via environment variables. No local database is mentioned.

Can I add my own tools?

Yes. Define tool functions in src/tool.py (or a new module) and register them in src/server.py using the @mcp.tool() decorator.

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