task-mcp
Documentation
Parallel Task 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.
Installation
The official installation instructions can be found here.
{
"mcpServers": {
"Parallel Task MCP": {
"url": "https://task-mcp.parallel.ai/mcp"
}
}
}Running locally
Running locally
This repo contains a proxy to the mcp which is hosted at: https://task-mcp.parallel.ai/mcp
How to run and test locally:
1. `wrangler dev`
2. `npx @modelcontextprotocol/inspector`
3. Connect to server: http://localhost:8787/mcp
Frequently asked questions
What is task-mcp?
task-mcp is a Model Context Protocol (MCP) server listed in the TrackMCP directory.
How do I install task-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is task-mcp open source?
Yes — it is hosted on GitHub at https://github.com/parallel-web/task-mcp and has 15 stars.
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