dynamicwf 2025.1.0

A Model Context Protocol server providing tools to access Adobe Intern information

dynamicwf: An Adobe Interns MCP server

Overview

A Model Context Protocol server for accessing and filtering Adobe intern information. This server provides tools to retrieve and search for interns via Large Language Models.

Please note that dynamicwf is currently in early development. The functionality and available tools are subject to change and expansion as we continue to develop and improve the server.

Tools

1. get_adobe_interns

   • Gets a list of all current Adobe interns
   • Input: None
   • Returns: List of all current Adobe interns as text output

2. filter_adobe_interns

   • Filters Adobe interns by name
   • Input:
     • name_contains (string, optional): String to filter interns by name
   • Returns: Filtered list of interns whose names contain the search string

Installation

Using uv (recommended)

When using uv no specific installation is needed. We will use uvx to directly run dynamicwf.

Using PIP

Alternatively you can install dynamicwf via pip:

pip install dynamicwf

After installation, you can run it as a script using:

python -m dynamicwf

Configuration

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

Using uvx

"mcpServers": {
  "interns": {
    "command": "uvx",
    "args": ["dynamicwf"]
  }
}

Using docker

"mcpServers": {
  "interns": {
    "command": "docker",
    "args": ["run", "--rm", "-i", "dynamicwf"]
  }
}

Using pip installation

"mcpServers": {
  "interns": {
    "command": "python",
    "args": ["-m", "dynamicwf"]
  }
}

Usage with Zed

Add to your Zed settings.json:

Using uvx

"context_servers": [
  "dynamicwf": {
    "command": {
      "path": "uvx",
      "args": ["dynamicwf"]
    }
  }
],

Using pip installation

"context_servers": {
  "dynamicwf": {
    "command": {
      "path": "python",
      "args": ["-m", "dynamicwf"]
    }
  }
},

Debugging

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx dynamicwf

Or if you've installed the package in a specific directory or are developing on it:

cd path/to/servers/src/dynamicwf
npx @modelcontextprotocol/inspector uv run dynamicwf

Development

If you are doing local development, there are two ways to test your changes:

1. Run the MCP inspector to test your changes. See Debugging for run instructions.

2. Test using the Claude desktop app. Add the following to your claude_desktop_config.json:

Docker

{
  "mcpServers": {
    "interns": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "dynamicwf"
      ]
    }
  }
}

UVX

{
"mcpServers": {
  "interns": {
    "command": "uv",
    "args": [ 
      "--directory",
      "/<path to servers>/dynamicwf",
      "run",
      "dynamicwf"
    ]
  }
}

Build

Docker build:

cd src/dynamicwf
docker build -t dynamicwf .

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.