Parallel Task MCP

The Parallel Task MCP allows initiating deep research or task groups directly from your favorite LLM client. It can be a great way to get to know Parallel’s different APIs by exploring their capabilities, but can also be used as a way to easily do small experiments while developing production systems using Parallel APIs. Please read our MCP docs here for more details.

Installation

The official installation instructions can be found here.

Running locally

This repo contains a proxy to the mcp which is hosted at: https://task-mcp.parallel.ai/mcp

How to run and test locally:

wrangler dev
npx @modelcontextprotocol/inspector
Connect to server: http://localhost:8787/mcp

Geniuz

Your AI remembers now. Geniuz stores everything in a local database locally on Mac, Windows, Linux, Raspberry Pi. No cloud. No account. No API keys. Nothing leaves your machine. It's open source; you can read every line of code.

Parallel Task MCP