Parallel Task MCP

official

Perform Deep Research and Batch Tasks

GitHub
15

What can you do with Parallel Task MCP?

  • Create a task — Ask your assistant to start a new deep research or task group via create_task.
  • List active tasks — Retrieve all currently running tasks with list_tasks.
  • Get task details — Fetch the status and result of a specific task using get_task.
  • Cancel a task — Stop a running task by calling cancel_task.

Documentation

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.

{
  "mcpServers": {
    "Parallel Task MCP": {
      "url": "https://task-mcp.parallel.ai/mcp"
    }
  }
}

Running locally

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:

  1. wrangler dev
  2. npx @modelcontextprotocol/inspector
  3. Connect to server: http://localhost:8787/mcp