Tallyfy Workflow Automation MCP server

Tallyfy MCP Server

The official Model Context Protocol server for Tallyfy, the workflow and process automation platform. It lets any MCP-capable AI assistant run your operations: create and track tasks, launch and advance processes, read and edit templates, fill form fields, manage people and groups, and search across your organization, all through your own authenticated Tallyfy account.

This repository is an automatically published, read-only mirror. The canonical source is maintained privately by Tallyfy and a sanitized, server-only snapshot is published here on every production release. Please do not open pull requests against this mirror (they cannot be merged here). For bugs or feature requests, use the issue tracker or contact us (see Support). Hosting, deployment, and monitoring code is intentionally not part of this mirror.

Connect (hosted, recommended)

Tallyfy runs a managed remote server. You do not need to host anything. Point your MCP client at:

https://mcp.tallyfy.com/

Transport is streamable HTTP and authentication is OAuth against your Tallyfy account, so the assistant only ever sees data the signed-in user is allowed to see.

Example client config

{
  "mcpServers": {
    "tallyfy": {
      "type": "streamable-http",
      "url": "https://mcp.tallyfy.com/"
    }
  }
}

What it can do

115 tools across the Tallyfy domain, grouped by area:

Almost every tool calls the public Tallyfy API on behalf of the authenticated user (the exceptions read the public docs index and the server-side org memory store). There are no write operations the signed-in user could not perform in the Tallyfy app directly.

Doing bulk or scripted work? This server is tuned for interactive, conversational use and limits how much one request can do at once. For high-volume or headless automation (launching processes from a CSV, exporting every template to disk, multi-org loops, CI/CD approval gates), reach for the first-party tallyfy CLI instead. It is built for deterministic, scriptable batch operations. Install with brew install tallyfy/tap/tallyfy or grab a binary from the releases page.

Run it yourself

You can build and run the server from this mirror with Docker. No configuration is required to start it:

cd server
docker build -t tallyfy-mcp-server .
docker run --rm -p 9000:9000 tallyfy-mcp-server
curl http://localhost:9000/health      # {"status":"healthy"}

The server listens on port 9000 and speaks streamable HTTP at / (and at /mcp). Python 3.13 is required if you prefer to run it without Docker (pip install -r server/requirements.txt, then uvicorn server:app from inside server/).

Shortened. The full README is on GitHub.