Skip to main content
Glama

Doctah-MCP

License: MIT Python 3.10+ MCP

🌍 Language / 语言选择: πŸ‡ΊπŸ‡Έ English | πŸ‡¨πŸ‡³ δΈ­ζ–‡

🎯 Enable AI assistants to search and access Arknights game data through a simple MCP interface.

The Doctah-MCP Server provides a bridge between AI assistants and PRTS.wiki's Arknights repository through the Model Context Protocol (MCP). It allows AI models to search for operators and enemies and access their content in a programmatic way.

✨ Core Features

  • 🎯 Operator Search: Query detailed operator information including skills, talents, and attributes

  • βš”οΈ Enemy Intelligence: Access comprehensive enemy data with level progression

  • πŸ“‹ List Search: Find operators and enemies with fuzzy search functionality

  • πŸ” Content Verification: Smart content validation to distinguish operators from enemies

  • πŸ€– AI-Friendly: Clean Markdown output with consistent structure

πŸš€ Quick Start

Install from Source

git clone https://github.com/TonybotNi/Doctah-MCP.git
cd doctah-mcp
pip install -e .

Verify installation:

# Test if global command works
doctah-mcp --help

# Or test with Python module
python -m doctah_mcp.server --help

For development:

# Clone and set up development environment
git clone https://github.com/TonybotNi/Doctah-MCP.git
cd doctah-mcp

# Install with test dependencies
pip install -e ".[dev]"

πŸ”Œ MCP Integration

Choose one of the following configuration methods for your MCP client config file:

Method 1: Using global command (recommended)

{
    "mcpServers": {
        "doctah-mcp": {
            "command": "doctah-mcp",
            // Or use full path: "/full/path/to/doctah-mcp"
            "args": []
        }
    }
}

πŸ’‘ If doctah-mcp command is not found, use Method 3 with full path to python executable

Method 2: Using Python module

{
    "mcpServers": {
        "doctah-mcp": {
            "command": "python",
            "args": ["-m", "doctah_mcp.server"]
        }
    }
}

Method 3: Using full path (most reliable)

{
    "mcpServers": {
        "doctah-mcp": {
            "command": "/full/path/to/python",
            "args": ["-m", "doctah_mcp.server"],
            "cwd": "/path/to/doctah-mcp-folder"
        }
    }
}

πŸ’‘ Note: cwd is the working directory, only needed in method 3, pointing to your downloaded doctah-mcp project folder

πŸ’‘ Available Tools

The server provides four main tools:

Search for detailed operator information:

result = await call_tool("search_operator_mcp", {
    "name": "Amiya",
    "sections": "skills,talents"
})

Get comprehensive enemy data:

result = await call_tool("search_enemy_mcp", {
    "name": "Originium Slug",
    "sections": "level0,level1"
})

3. List Operators

Find operators matching a pattern:

result = await call_tool("list_operators_mcp", {
    "name": "guard"
})

4. List Enemies

Find enemies matching a pattern:

result = await call_tool("list_enemies_mcp", {
    "name": "drone"
})

πŸ“ Client Configuration

Claude Desktop

Configuration file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

Recommended configuration (simplest):

{
  "mcpServers": {
    "doctah-mcp": {
      "command": "doctah-mcp",
      "args": []
    }
  }
}

Fallback configuration (if above doesn't work):

{
  "mcpServers": {
    "doctah-mcp": {
      "command": "/full/path/to/python",
      "args": ["-m", "doctah_mcp.server"],
      "cwd": "/path/to/doctah-mcp-folder"
    }
  }
}

Cherry Studio

  1. Open Cherry Studio β†’ Settings β†’ MCP Servers β†’ Add

  2. Select Type: STDIO

  3. Simple configuration:

    • Command: doctah-mcp

    • Args: []

  4. Fallback configuration (if above doesn't work):

    • Command: /full/path/to/python

    • Args: ["-m", "doctah_mcp.server"]

    • Cwd: /path/to/doctah-mcp-folder

βš™οΈ Configuration

Configure through environment variables:

Variable

Purpose

Default

LOG_LEVEL

Logging level

INFO

πŸ§ͺ Testing

Run the test suite:

python -m pytest

πŸ“„ License

Released under the MIT License. See the LICENSE file for details.

πŸ“– Detailed Setup Guides

Need more detailed configuration and troubleshooting? Check out:


Made with ❀️ for Arknights community

GitHub Star History

Star History Chart

-
security - not tested
A
license - permissive license
-
quality - not tested

Resources

Looking for Admin?

Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TonybotNi/Doctah-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server