Parallel Task Mcp
Description
# 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…
About
# 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…
Details
- Author
- parallel-web
- GitHub stars
- 14
- Downloads
- 364
- Categories
- Web Scraping, Other, Automation, Productivity
Jump to
- Initiates deep research or task groups from LLM clients.
- Provides access to Parallel APIs for exploration.
- Useful for small experiments during development.
- Official documentation at docs.parallel.ai.
- Supports local development with MCP inspector.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Parallel Task McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by configuring the MCP server with the URL https://task-mcp.parallel.ai/mcp in your MCP client settings. To run locally, use wrangler dev and connect via the MCP inspector at http://localhost:8787/mcp.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"parallel task mcp": {
"Parallel Task MCP": {
"url": "https://task-mcp.parallel.ai/mcp"
}
}
}
}McpServers
{
"Parallel Task MCP": {
"url": "https://task-mcp.parallel.ai/mcp"
}
}- Create a task— Ask your assistant to start a new deep research or task group viacreate_task.
- List active tasks— Retrieve all currently running tasks withlist_tasks.
- Get task details— Fetch the status and result of a specific task usingget_task.
- Cancel a task— Stop a running task by callingcancel_task.
TheParallel Task MCPallows 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 readour MCP docs herefor more details.
The official installation instructions can be foundhere.
{ "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
- wrangler dev
- npx @modelcontextprotocol/inspector
- Connect to server:http://localhost:8787/mcp
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