Parallel Task Mcp

Name: Parallel Task Mcp
Author: parallel-web

@parallel-web

代码仓库

关于 Parallel Task Mcp

暂无概览

#parallel-task-mcp #deep-research #batch-tasks

基本信息

分类

生产力

运行时

node

传输方式

stdio

发布者

parallel-web

提交者

janwilmake

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

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概览

What is Parallel Task Mcp?

It allows initiating deep research or task groups directly from an LLM client, designed for exploring Parallel APIs and conducting small experiments while developing production systems.

How to use Parallel Task Mcp?

Install by configuring the MCP server with the URL https://task-mcp.parallel.ai/mcp in your MCP client settings. To run locally, use wrangler dev and connect via the MCP inspector at http://localhost:8787/mcp.

Key features of Parallel Task Mcp

Initiates deep research or task groups from LLM clients.
Provides access to Parallel APIs for exploration.
Useful for small experiments during development.
Official documentation at docs.parallel.ai.
Supports local development with MCP inspector.

Use cases of Parallel Task Mcp

Exploring Parallel APIs capabilities from an LLM client.
Running small experiments while building production systems.
Triggering deep research tasks directly through a chat interface.

FAQ from Parallel Task Mcp

What does Parallel Task Mcp do?

It lets you initiate deep research or task groups directly from your favorite LLM client.

How do I install Parallel Task Mcp?

Add the server configuration with URL https://task-mcp.parallel.ai/mcp to your MCP settings. Full installation instructions are at docs.parallel.ai.

Can I run Parallel Task Mcp locally?

Yes. Run wrangler dev in the repository, then use npx @modelcontextprotocol/inspector to connect to http://localhost:8787/mcp.

What dependencies are needed for local run?

You need Wrangler (Cloudflare Workers CLI) and the MCP inspector tool.

Where can I find more information?

Read the official MCP documentation at docs.parallel.ai/integrations/mcp/getting-started.

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