This connects Claude to Parallel's research and task orchestration APIs, letting you kick off deep research tasks or coordinate task groups without leaving your chat. It's hosted as a remote server, so there's no local setup beyond adding the URL to your MCP config. The main use case is exploring what Parallel's APIs can do before you build production integrations, though it works fine for quick experiments too. If you're already using Parallel for AI workflows and want faster iteration cycles, this gives you a conversational interface to their task system. The repo includes a local proxy setup if you want to poke around the implementation or test changes before they hit the hosted endpoint.
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.
The official installation instructions can be found here.
{
"mcpServers": {
"Parallel Task MCP": {
"url": "https://task-mcp.parallel.ai/mcp"
}
}
}
This repo contains a proxy to the mcp which is hosted at: https://task-mcp.parallel.ai/mcp
How to run and test locally:
wrangler devnpx @modelcontextprotocol/inspectorgongrzhe/office-powerpoint-mcp-server
gongrzhe/office-word-mcp-server
io.github.mindstone/mcp-server-office
greirson/mcp-todoist
henilcalagiya/mcp-apple-notes
ankimcp/anki-mcp-server-addon