An open is a native MCP server that gives AI agents direct access to ai & ml functionality. It runs via python and has 71,084 GitHub stars.

How do I install the An open?

Run pip install deer-flow in your terminal, or add the MCP config to your claude_desktop_config.json. No API key is required.

What runtime does An open use?

It runs on python. The install command is: pip install deer-flow

Is the An open actively maintained?

The server has a quality score of 99/99 and is currently a community-maintained project. Recent commits indicate active maintenance.

AI & MLpythonNo AuthCommunityActive

An open

71,084 starsScore: 99

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Quick Answer

1. An open gives AI agents ai & ml capabilities with 71,084 GitHub stars and a quality score of 99/99.
2. Install: Run pip install deer-flow or add the config to your MCP client.
3. Runtime: python — no authentication required.
4. Health: Actively maintained — last checked 6/14/2026.

Overview

Category: AI & ML

Runtime: python

Install: pip install deer-flow

Auth: No auth required

Source: community

Stars: 71,084

Setup time: ~30 sec

What You Can Build

With the An open MCP server, your AI assistant can:

Access ai & ml functionality through natural language
Use the server immediately with no API key setup
Combine with other MCP servers for cross-tool automation workflows
Run with python for reliable, consistent deployments

Health Status

Active

Last commit: 6/13/2026

Checked: 6/14/2026

Page updated: June 13, 2026

One-Click Install

Copy the snippet for your MCP client and paste it in.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "deer-flow": {
      "command": "pip",
      "args": [
        "install",
        "deer-flow"
      ],
      "env": {}
    }
  }
}

Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "deer-flow": {
      "command": "pip install deer-flow"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "deer-flow": {
      "command": "pip install deer-flow"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json

{
  "mcpServers": {
    "deer-flow": {
      "command": "pip",
      "args": ["install","deer-flow"],
      "env": {}
    }
  }
}

Topics

agentagenticagentic-frameworkagentic-workflowaiai-agentsdeep-researchharness

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