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Task

Highest Accuracy Deep Research and Batch Tasks MCP

search-data-extraction
By parallel-web
146Updated 9 months agoTypeScript

Installation

npx -y task-mcp

Configuration

{
  "mcpServers": {
    "task-mcp": {
      "command": "npx",
      "args": ["-y", "task-mcp"]
    }
  }
}

How to use

  1. Run the installation command above (if needed)
  2. Open your Claude Code settings file (~/.claude/settings.json)
  3. Add the configuration to the mcpServers section
  4. Restart Claude Code to apply changes

README

View on GitHub

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

<details><summary>Running locally</summary>

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
</details>
View source on GitHub

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