AgentTasker
Minimal stdio MCP server for parallel task execution by AI agents.
What is AgentTasker?
AgentTasker is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to minimal stdio mcp server for parallel task execution by ai agents.
Minimal stdio MCP server for parallel task execution by AI agents.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Minimal stdio MCP server for parallel task execution by AI a
Use Cases
Maintainer
Works with
Installation
PIP
pip install agent-tasker-mcp-serverManual Installation
pip install agent-tasker-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about AgentTasker
What is AgentTasker?
AgentTasker is a Model Context Protocol (MCP) server that minimal stdio mcp server for parallel task execution by ai agents. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AgentTasker?
Install via pip with: pip install agent-tasker-mcp-server. Then configure your AI client to connect to this MCP server.
Which AI clients work with AgentTasker?
AgentTasker works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AgentTasker free to use?
Yes, AgentTasker is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up AgentTasker in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use AgentTasker?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.