pipedriver

pipedriver

MCP server for Pipedrive API v2, enabling management of deals, persons, organizations, products, activities, and pipelines through natural language in MCP clients like Cursor and Claude Desktop.

Category
访问服务器

README

pipedriver

MCP server for the Pipedrive API v2. Expose Pipedrive (deals, persons, organizations, products, activities, pipelines, and more) as tools to any Model Context Protocol client—Cursor, Claude Desktop, and others.

Built with the official Pipedrive JavaScript SDK and the MCP TypeScript SDK.


Quick start (npx)

No install. Run the server with your Pipedrive API token:

PIPEDRIVE_API_KEY=your_api_token npx pipedriver

Then point your MCP client at this command. Example for Cursor (Settings → MCP → Edit config):

{
  "mcpServers": {
    "pipedriver": {
      "command": "npx",
      "args": ["-y", "pipedriver"],
      "env": {
        "PIPEDRIVE_API_KEY": "your_api_token"
      }
    }
  }
}

Get an API token in Pipedrive → Settings → API.


Usage

How it runs

The server uses stdio transport: your MCP client starts it as a subprocess and talks over stdin/stdout. No HTTP server or port.

Option A: npx (recommended for trying it out)

npx -y pipedriver

Set PIPEDRIVE_API_KEY in the environment (or in your MCP config env, as in the example above).

Option B: Install and run

npm install -g pipedriver
# or: yarn global add pipedriver

export PIPEDRIVE_API_KEY=your_api_token
pipedriver

Option C: From a local clone (development)

git clone https://github.com/vaibhavpandeyvpz/pipedriver.git
cd pipedriver
yarn install
export PIPEDRIVE_API_KEY=your_api_token
yarn dev

In your MCP config, use the path to the repo:

{
  "mcpServers": {
    "pipedriver": {
      "command": "node",
      "args": ["/path/to/pipedriver/dist/index.js"],
      "env": { "PIPEDRIVE_API_KEY": "your_api_token" }
    }
  }
}

Or without building (runs TypeScript with tsx):

{
  "mcpServers": {
    "pipedriver": {
      "command": "npx",
      "args": ["tsx", "/path/to/pipedriver/src/index.ts"],
      "env": { "PIPEDRIVE_API_KEY": "your_api_token" }
    }
  }
}

Tool naming

Tools follow pipedrive_<domain>_<action>, e.g. pipedrive_deals_list, pipedrive_persons_add. Arguments and request bodies match the Pipedrive API v2 (filters, sort, pagination, and JSON bodies where applicable).


Tools overview

Domain Examples
Activities add, delete, list, get, update
Activity fields get, list (metadata)
Deals add, delete, list, get, update, search; products (add/delete/update/many); followers; convert to lead; additional discounts; installments
Deal fields get, list (metadata)
Item search search, search by field
Leads search, convert to deal, get conversion status
Organizations add, delete, list, get, update, search; followers
Organization fields get, list (metadata)
Persons add, delete, list, get, update, search; picture; followers
Person fields get, list (metadata)
Pipelines add, delete, list, get, update
Products add, delete, list, get, update, search; followers; duplicate; variations; image
Product fields get, list (metadata)
Stages add, delete, list, get, update
Users get followers

Each tool’s input schema in your MCP client describes parameters and optional fields.


Development

Prerequisites

  • Node.js 18+
  • Yarn (or npm)

Setup

git clone https://github.com/vaibhavpandeyvpz/pipedriver.git
cd pipedriver
yarn install

Create a .env or export your token:

export PIPEDRIVE_API_KEY=your_api_token

Commands

Command Description
yarn dev Run server from source (no build) via tsx
yarn build Compile TypeScript to dist/
yarn start Run compiled server (node dist/index.js)
yarn test Run Jest tests (start server, connect, list tools)

Project layout

  • src/ – Server entry, MCP server setup, Pipedrive client wrapper
  • src/tools/ – Tool handlers per domain (deals, persons, products, etc.)
  • src/schemas/ – Zod schemas for request bodies
  • tests/ – Integration tests (Jest)

Deployment

This server is not a long-lived HTTP service. It is started by your MCP client when needed and communicates over stdio.

  • Production use = your MCP client (e.g. Cursor, Claude Desktop) runs npx pipedriver or pipedriver with PIPEDRIVE_API_KEY set. No extra deployment step.
  • Publishing: The package is published to npm via GitHub Actions on version tags (v*). See .github/workflows/publish-npm.yml.

License

MIT © Vaibhav Pandey

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选