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MCP server for Pipefy

@gbrlcustodio

代码仓库

关于 MCP server for Pipefy

MCP server, CLI, and agent skills for Pipefy.

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

gbrlcustodio

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "pipefy-mcp-server": {
      "command": "uv",
      "args": [
        "tool",
        "install",
        "\\"
      ]
    }
  }
}

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 MCP server for Pipefy?

The MCP server for Pipefy is an open-source component of the Pipefy AI Toolkit that exposes 152 tools to Model Context Protocol (MCP) clients like Cursor, Claude Desktop, and Claude Code. It enables AI agents to interact programmatically with Pipefy, a workflow automation platform, covering pipes, cards, reports, automations, databases, portals, and more.

How to use MCP server for Pipefy?

Install via the recommended quick install script (curl -fsSL ... | sh) or through the Claude Code plugin marketplace. After installation, authenticate using either human OAuth (pipefy auth login) or a service account (set PIPEFY_SERVICE_ACCOUNT_CLIENT_ID and PIPEFY_SERVICE_ACCOUNT_CLIENT_SECRET). Configure your MCP client to run the pipefy-mcp-server command. The server is used by connecting any MCP-compatible client to the running server process.

Key features of MCP server for Pipefy

  • 152 tools across ten domains (pipes & cards, databases, reports, automations, etc.)
  • Supports both human OAuth and service account authentication
  • Part of a larger open-source toolkit (CLI, SDK, agent skill playbooks)
  • Compatible with any MCP client (Cursor, Claude Desktop, Claude Code, Codex)
  • Ships with a skill catalog of workflow playbooks for common Pipefy tasks
  • Open source under Apache 2.0 license

Use cases of MCP server for Pipefy

  • Automate Pipefy workflows via AI agents (e.g., creating cards, moving phases)
  • Query and manage Pipefy database tables and records programmatically
  • Generate and export reports, logs, and usage data
  • Manage memberships, webhooks, and portal content
  • Perform introspection and execute raw GraphQL queries

FAQ from MCP server for Pipefy

What are the runtime dependencies?

Python 3.11+ and the uv package manager are required. The server is distributed via uvx or uv tool install from the git repository (pre-1.0) or PyPI (post-1.0).

How do I authenticate with MCP server for Pipefy?

Two authentication paths exist: human OAuth (interactive browser flow, stores session in OS keychain) and service account (unattended/CI, using PIPEFY_SERVICE_ACCOUNT_CLIENT_ID and PIPEFY_SERVICE_ACCOUNT_CLIENT_SECRET environment variables).

Does the MCP server for Pipefy depend on the CLI or SDK?

No, the MCP server (pipefy-mcp-server) depends on the shared pipefy-sdk package but does not import the CLI. The SDK provides the GraphQL client and models used by both.

What transport does the server use?

The server follows the Model Context Protocol standard. The default transport is stdio, compatible with most MCP clients like Claude Desktop and Claude Code.

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