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Parallel Task MCP Server

@parallel-web

リポジトリ

基本情報

カテゴリ

生産性

トランスポート

stdio

作者

parallel-web

投稿者

janwilmake

Parallel Task MCP Server について

概要はまだありません

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

Parallel Task MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Parallel Task MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

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.

よくある質問

1

What does Parallel Task Mcp do?

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

2

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](https://docs.parallel.ai/integrations/mcp/installation).

3

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`.

4

What dependencies are needed for local run?

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

5

Where can I find more information?

Read the official MCP documentation at [docs.parallel.ai/integrations/mcp/getting-started](https://docs.parallel.ai/integrations/mcp/getting-started).

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