Pipefy
MCP server, CLI, and agent skills for Pipefy.
What is Pipefy?
Pipefy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server, cli, and agent skills for pipefy.
MCP server, CLI, and agent skills for Pipefy.
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server, CLI, and agent skills for Pipefy.
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx pipefyConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Pipefy
The Pipefy AI Toolkit is an MCP server, CLI, and agent skill suite that gives AI assistants full programmatic access to the Pipefy workflow automation platform. It exposes 149 tools across ten domains — including pipes, cards, database tables, reports, automations, portals, and webhooks — enabling AI agents to create, read, update, and manage every aspect of Pipefy workflows. Teams using Pipefy for business process management can automate repetitive operations and build AI-driven workflow assistants without writing custom API integrations.
Prerequisites
- A Pipefy account with appropriate admin or user permissions
- Python 3.11+ with uv package manager installed (for CLI installation)
- Or: Claude Code with the Pipefy plugin installed from the marketplace
- PIPEFY_TOKEN or Pipefy service account credentials for authentication
- An MCP-compatible client: Claude Desktop, Cursor, or Claude Code
Install the Pipefy AI Toolkit via the quick-install script
Run the official installer script, specifying your client type (cursor, claude, etc.). This installs the CLI and registers the MCP server automatically.
curl -fsSL https://raw.githubusercontent.com/pipefy/ai-toolkit/main/install.sh | sh -s -- --client cursorAuthenticate with your Pipefy account
Log in interactively using the CLI. This opens a browser OAuth flow and stores your session securely in the OS keychain. For CI or unattended use, set PIPEFY_TOKEN or service account credentials as environment variables instead.
pipefy auth loginVerify the connection by listing your pipes
Run a quick CLI command to confirm authentication is working and the MCP server can reach the Pipefy API.
pipefy pipe list --jsonConfigure the MCP server in your AI client
For manual MCP client setup, add the Pipefy server configuration. Use PIPEFY_TOKEN for service account or headless environments.
{
"mcpServers": {
"pipefy": {
"command": "pipefy",
"args": ["mcp"],
"env": {
"PIPEFY_TOKEN": "your-pipefy-api-token"
}
}
}
}Use the 149 MCP tools through your AI assistant
With the MCP server connected, your AI can now list pipes, create cards, query database tables, generate reports, and manage automations. Destructive operations require explicit --yes confirmation.
# Example CLI commands (also available as MCP tools):
pipefy pipe list --json
pipefy card get 123456789
pipefy introspect query --name getPipePipefy Examples
Client configuration
MCP server configuration for Claude Desktop or Cursor using a Pipefy API token.
{
"mcpServers": {
"pipefy": {
"command": "pipefy",
"args": ["mcp"],
"env": {
"PIPEFY_TOKEN": "your-pipefy-api-token"
}
}
}
}Prompts to try
Example prompts to use with the Pipefy MCP server in Claude Desktop or Cursor.
- "List all pipes in my Pipefy organization"
- "Create a new card in the Sales pipeline with title 'Follow up with Acme Corp'"
- "Show me all cards in the 'In Progress' phase of the Support pipe"
- "Generate a report for the Onboarding pipe showing cards completed this month"
- "Set up a webhook on the HR pipe to notify Slack when a card moves to Done"Troubleshooting Pipefy
Authentication fails with 'unauthorized' error
Run 'pipefy auth login' to refresh your session. For service account use, ensure PIPEFY_TOKEN or PIPEFY_SERVICE_ACCOUNT_CLIENT_ID/SECRET are set correctly in the environment. Tokens can be generated in Pipefy Admin under API tokens.
MCP server not found after installation
Verify the pipefy CLI is in your PATH by running 'which pipefy'. If using uv tool install, run 'uv tool list' to confirm installation. You may need to add the uv tools bin directory to your PATH.
Destructive operations (delete, move) are blocked
Destructive operations require explicit confirmation. When running via CLI, append '--yes' to the command. When using the MCP server, instruct the AI agent to confirm the action explicitly before proceeding.
Frequently Asked Questions about Pipefy
What is Pipefy?
Pipefy is a Model Context Protocol (MCP) server that mcp server, cli, and agent skills for pipefy. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Pipefy?
Follow the installation instructions on the Pipefy GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Pipefy?
Pipefy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Pipefy free to use?
Yes, Pipefy is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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