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Productivity

Parallel Task MCP

by ai.parallel · v1.0.0

An MCP server for deep research or task groups

In brief

Parallel Task MCP is a Productivity MCP server from ai.parallel. It runs as a remote HTTP endpoint. It has 13 GitHub stars.

GitHub stars
13
Transport
Streamable HTTP (remote)
Auth
Unknown
Test status
untested

Install & run

Connect to this server at its remote endpoint.

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

Connect this MCP server to your AI agent

MCP servers plug into any MCP-compatible client (Claude Desktop, Cursor, your own agent runtime, and more). The steps are the same everywhere:

  1. 1. Make sure the runtime is available. This server is remote — you only need network access to its endpoint; nothing to install locally.
  2. 2. Add it to your MCP client config. Point your client at the remote URL above. Most clients accept an MCP servers map keyed by a name of your choosing.
  3. 3. Provide credentials. This server expects unknown. Supply them via the environment variables or headers documented in the server’s repository.
  4. 4. Restart your client and verify.The server’s tools should appear in your agent’s tool list, ready to call.

Want this running without wiring configs yourself? Run this with Alfe →

Repository →Homepage →
Productivityremote

Data from the official MCP registry · last updated 2026-01-09 · ★ 13 stars via GitHub.

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