For Pipefy MCP Server

MCP server, CLI, and agent skills for Pipefy.

Remote serverstreamable-httpPython

What is the For Pipefy MCP server?

For Pipefy MCP server exists for a simple reason — assistants are far more useful when they can act on For Pipefy directly instead of describing what you should do. MCP server, CLI, and agent skills for Pipefy.

What you get

Overview • Installation • Repository layout • MCP server • CLI • Agent skills • Documentation • Development • Contributing • Legal

Feedback and issues: GitHub Issues · dev@pipefy.com

What the assistant can call

Once For Pipefy is connected, these are the calls the assistant has available:

  • Component — Package / path
  • CLI — pipefy-cli
  • SDK — pipefy
  • Skillsskills/
  • Path — Distribution
  • Domain — Tools
  • Relations — 8
  • Reports — 17
  • iPaaS — 4
  • Observability — 11
  • Organization — 2
  • Portals — 20

Configuration and credentials

You will need 3 environment variables: PIPEFY_SERVICE_ACCOUNT_CLIENT_ID, PIPEFY_SERVICE_ACCOUNT_CLIENT_SECRET, PIPEFY_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Choosing this one

Plenty of monitoring and observability servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. For Pipefy's toolset — Component, CLI, SDK and 11 more — is a fair guide to whether it matches your workflow. It is maintained by gbrlcustodio; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch For Pipefy.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the for pipefy mcp server does with a few real requests.

Available tools

ToolWhat it does
ComponentPackage / path
CLIpipefy-cli
SDKpipefy
Skills[skills/](skills/)
PathDistribution
DomainTools
Relations8
Reports17
iPaaS4
Observability11
Organization2
Portals20
Introspection5
ControlSet with

How to install the For Pipefy MCP server

{
  "mcpServers": {
    "pipefy": {
      "command": "npx",
      "args": ["-y", "skills"],
      "env": {
        "PIPEFY_SERVICE_ACCOUNT_CLIENT_ID": "your-value",
        "PIPEFY_SERVICE_ACCOUNT_CLIENT_SECRET": "your-value",
        "PIPEFY_TOKEN": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
PIPEFY_SERVICE_ACCOUNT_CLIENT_IDConfiguration value read at startup.Optional
PIPEFY_SERVICE_ACCOUNT_CLIENT_SECRETCredential the server authenticates with.Yes
PIPEFY_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use For Pipefy to Component.
  • Use For Pipefy to CLI.
  • Use For Pipefy to SDK.

Frequently asked questions

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).