Parallel Task

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Run deep web research and batch data enrichment jobs with Parallel and fetch the sourced results as Markdown.

state.auth.long (state.auth.title)Streamable HTTP

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https://task-mcp.parallel.ai/mcp

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mcp.tc/i/parallel-task

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Connects an assistant to the Parallel Task API. You can start a deep research job for a question that needs a detailed, sourced answer, or run enrichment over a list of inputs using a shared output schema. Jobs run asynchronously, so you check status and then retrieve the results as Markdown.

Runs as a hosted streamable HTTP endpoint at https://task-mcp.parallel.ai/mcp. A Parallel account is required, and sign-in uses OAuth in the browser. Clients without OAuth support can send a Parallel API key as a Bearer token. Creating research or enrichment tasks is billable under Parallel's Task API pricing.

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  • Start a deep research job for a question that needs cited sources
  • Enrich a list of inputs against a common output schema
  • Check whether a research run or task group is still active
  • Retrieve finished research or enrichment output as Markdown

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  • Research Parallel Web Systems and write a company brief with sources.

  • Enrich these three companies with website, headquarters and founding year.

  • Check the status of my running research job.

  • Get the Markdown result for my finished task group.

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http parallel-task https://task-mcp.parallel.ai/mcp
  1. Start Claude Code, type /mcp, pick parallel-task and choose Authenticate. A browser window opens for the Parallel Web Systems sign-in.

Add --scope user to make it available in every project, not just this one.

Claude Desktop

  1. Open Settings → Connectors and click Add custom connector.
  2. Name it Parallel Task and paste this URL:
https://task-mcp.parallel.ai/mcp
  1. Click Add, then Connect, and sign in when Parallel Web Systems asks.

Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.

claude.ai

  1. Open the connector form on claude.ai. This button fills in the name and URL for you:
  1. Check that the URL reads https://task-mcp.parallel.ai/mcp and click Add.
  2. Click Connect and sign in when Parallel Web Systems asks.

Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.

ChatGPT

  1. On chatgpt.com, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click + to create an app for a remote MCP server.
  3. Paste https://task-mcp.parallel.ai/mcp as the server URL and choose OAuth. ChatGPT sends you to Parallel Web Systems to sign in.

Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "parallel-task": {
      "url": "https://task-mcp.parallel.ai/mcp"
    }
  }
}

Cursor shows Needs login next to the server. Click it to sign in.

VS Code

Or from a terminal:

code --add-mcp '{"name":"parallel-task","type":"http","url":"https://task-mcp.parallel.ai/mcp"}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "parallel-task": {
      "type": "http",
      "url": "https://task-mcp.parallel.ai/mcp"
    }
  }
}

VS Code asks you to sign in the first time the server starts.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "parallel-task": {
      "serverUrl": "https://task-mcp.parallel.ai/mcp"
    }
  }
}
  1. Refresh the MCP server list in Cascade and sign in when asked.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add parallel-task --url https://task-mcp.parallel.ai/mcp
codex mcp login parallel-task

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.parallel-task]
url = "https://task-mcp.parallel.ai/mcp"

Gemini CLI

gemini mcp add --transport http parallel-task https://task-mcp.parallel.ai/mcp

Then, inside Gemini CLI, run /mcp auth parallel-task to sign in.

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.

{
  "mcpServers": {
    "parallel-task": {
      "type": "http",
      "url": "https://task-mcp.parallel.ai/mcp"
    }
  }
}

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://task-mcp.parallel.ai/mcp.

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Can I paste mcp.tc/i/parallel-task into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://task-mcp.parallel.ai/mcp, so your client talks to Parallel Task directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.

Does Parallel Task need an API key or a sign-in?

Yes, you need a Parallel Web Systems account. The first time your client connects, it opens Parallel Web Systems's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.

Is Parallel Task a remote or a local server?

Remote. Parallel Web Systems hosts it at https://task-mcp.parallel.ai/mcp, and it speaks Streamable HTTP. There's nothing to install.

What can Parallel Task do?

You can start a deep research job for a question that needs cited sources, enrich a list of inputs against a common output schema and check whether a research run or task group is still active.

Which clients can use it?

Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.

Who wrote this page?

mcp.tc's robot read Parallel Task's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

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