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Summary
Pipefy work management platform: organizations, pipes (workflows), cards and phases through the GraphQL API. List the pipes an AI assistant can see, track cards as they move through phases, and read card field values.
Try asking
Example prompts for Pipefy
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Pipefy, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Pipefy + Meta Muse
Pipefy work management platform: organizations, pipes (workflows), cards and phases through the GraphQL API. List the pipes an AI assistant can see, track cards as they move through phases, and read card field values.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
PIPEFY_API_TOKEN
Step 1 — Get credentials
Setting up takes a few minutes. You need a Pipefy account and an API token.
- Open https://app.pipefy.com/tokens, click Generate new token, give it a description and save. Use the longer token shown there. For production, Pipefy recommends a Service Account token instead (see the Authentication page in the Pipefy developer docs).
- Paste the token into
PIPEFY_API_TOKEN. The connector sends it as a bearer token on every call. - Install the connector and run
pipefy_list_organizations: it lists the organizations the token can see and doubles as the check that the token works.
What it reads: your organizations, the pipes (workflows) of an organization, and one pipe with its card counts, phases, start-form fields and labels. It lists the cards of a pipe with title, done flag, update time, current phase and assignees, opens one card with every field value, and shows one phase with its card count and fields. A typical path is pipefy_list_organizations, pipefy_list_pipes, pipefy_get_pipe (to learn the phase ids), pipefy_list_cards and pipefy_get_card.
Ids: all Pipefy ids are numbers. A pipe id is the number in the pipe URL, e.g. 301234567 in https://app.pipefy.com/pipes/301234567, and card, phase and organization ids work the same way.
Limits: pipefy_list_cards returns 25 cards per page by default and at most 50, the most Pipefy returns per request. When pageInfo.hasNextPage is true, the AI passes pageInfo.endCursor as after to get the next page. Pipefy also has a monthly API-call quota that depends on your plan, and one tool call is one API call.
The connector is read-only: it does not create, move or update cards, and it does not search cards (it pages through them instead).
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Muse
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Muse adds remote MCP servers as custom connectors and signs in to them with OAuth.
- In Muse, open Settings → Connectors and choose Add custom connector.
- Paste the MCP server URL
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID. - Muse opens the AnythingMCP sign-in page: sign in and approve access.
- In a chat, ask Muse for something that needs the
Pipefytools.
You can also set it up from a chat, on the web, in the iOS and Android apps or in WhatsApp. Send Muse this message:
Create a Custom Connector for a new remote MCP server, then connect to it:
Name: AnythingMCP
Transport: remote streamable HTTP
URL: https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID
Auth: OAuth
Self-hosting? Use your instance's public HTTPS address instead of https://cloud.anythingmcp.com. Muse connects from Meta's cloud, so localhost does not work.
Available tools
| Tool | What it does |
|---|---|
pipefy_list_organizations | List the organizations the token can see, with their id and name |
pipefy_list_pipes | List the pipes (workflows) of one organization, with their id and name |
pipefy_get_pipe | Show one pipe in full: id, name, card counts, its phases (id and name), the start-form fields and the labels |
pipefy_list_cards | List cards of one pipe, a page at a time: id, title, done flag, update time, current phase and assignees |
pipefy_get_card | Show one card in full: id, title, done flag, its pipe and current phase, every field with its name and value, and the assignees |
pipefy_get_phase | Show one phase: id, name, how many cards it holds, and the fields defined on it |
pipefy_graphql_schema_url | Return the URL of the GraphQL schema (SDL) |
pipefy_graphql_schema | Fetch the GraphQL schema: a summary, one type, a search slice or the full SDL |
pipefy_graphql_query | Run an arbitrary GraphQL query |
pipefy_graphql_mutation | Run an arbitrary GraphQL mutation |
pipefy_graphql_subscription | Run an arbitrary GraphQL subscription (if the API supports it) |
FAQ
Where is Muse available? Meta currently offers Muse in the US and Canada, on the web, in the iOS and Android apps and in WhatsApp.
Does Meta review this connector? No. Meta doesn't review custom connectors. Muse sees only the tools you switched on for this MCP server in AnythingMCP, and you can disconnect it anytime under Settings → Connectors.
Next steps
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