parallel-web/task-mcp

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Highest Accuracy Deep Research and Batch Tasks MCP

About

Highest Accuracy Deep Research and Batch Tasks MCP

README

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

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

from github.com/parallel-web/task-mcp

Installing parallel-web/task-mcp

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/parallel-web/task-mcp

FAQ

Is parallel-web/task-mcp MCP free?

Yes, parallel-web/task-mcp MCP is free — one-click install via Unyly at no cost.

Does parallel-web/task-mcp need an API key?

No, parallel-web/task-mcp runs without API keys or environment variables.

Is parallel-web/task-mcp hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install parallel-web/task-mcp in Claude Desktop, Claude Code or Cursor?

Open parallel-web/task-mcp on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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