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Highest Accuracy Deep Research and Batch Tasks MCP
Highest Accuracy Deep Research and Batch Tasks MCP
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/inspectorRun in your terminal:
claude mcp add parallel-web-task-mcp -- npx Yes, parallel-web/task-mcp MCP is free — one-click install via Unyly at no cost.
No, parallel-web/task-mcp runs without API keys or environment variables.
Self-hosted: the server runs locally on your machine via the install command above.
Open parallel-web/task-mcp on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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