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Pipefy Mcp Server

@gbrlcustodioon a year ago
2 MIT
FreeCommunity
AI Systems
Pipefy MCP is an open-source server for safe card management in IDEs.

Overview

What is Pipefy Mcp Server

Pipefy MCP is an open-source server designed for safe card management within Integrated Development Environments (IDEs). It allows users to create cards, update field information, and access various Pipefy resources with built-in safety controls.

Use cases

Use cases for Pipefy MCP include managing project tasks, tracking development progress, organizing team workflows, and integrating with other Pipefy resources for enhanced productivity.

How to use

To use Pipefy MCP, you need to integrate it into your IDE. Follow the installation instructions provided in the README, and utilize the API endpoints to create and manage cards securely.

Key features

Key features of Pipefy MCP include safe card creation and management, built-in safety controls, compatibility with IDEs, and open-source availability, ensuring continuous improvement and community support.

Where to use

Pipefy MCP can be used in software development environments, project management tools, and any application requiring structured card management and resource handling within IDEs.

Content

MCP server for Pipefy

Pipefy MCP is an open-source MCP server that lets your IDE safely create cards, update field information, and use any Pipefy resource — all with built-in safety controls.

⚡ Free & open-source forever. 📢 Share your feedback on GitHub issues or at [email protected].

PyPI version CI Status Code Coverage Python 3.12+ uv package manager PyPI Downloads Smithery.ai Downloads MCP Server License

Table of contents

Getting startedFeature overviewTroubleshootingChangelog

Getting Started

Prerequisites

Installing the server requires the following on your system:

  • Python 3.12+

If you plan to install via uv, ensure it’s installed.

Inspecting locally developed servers

To inspect servers locally developed or downloaded as a repository, the most common way is:

npx @modelcontextprotocol/inspector uv --directory . run pipefy-mcp-server

Testing

Updating GraphQL Schema

uv run gql-cli https://app.pipefy.com/graphql --print-schema --schema-download --headers 'Authorization: Bearer <AUTH_TOKEN>' > tests/services/pipefy/schema.graphql

Tools

No tools

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