adk-python-mcp-client vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	adk-python-mcp-client by arjunprabhulal	filesystem by modelcontextprotocol
Stars	★ 34	★ 85,748
30d uses	—	—
Score	38	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsCommunication	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	12 mo ago	this month

adk-python-mcp-client · Summary

Python implementation of ADK as an MCP client for flight search with Gemini 2 LLM.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

adk-python-mcp-client · Use cases

Building flight search assistants using Google's Gemini model
Implementing MCP client with ADK for external API integration
Creating stateful AI agents with dynamic tool discovery

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

adk-python-mcp-client · Install

Installation

Clone the repository:

git clone https://github.com/arjunprabhulal/adk-python-mcp-client.git
cd adk-python-mcp-client

Set up environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

Configure environment variables:

cp .env.example .env
# Edit .env with your API keys

Run the client:

python client.py

Claude Desktop configuration (if applicable):

{
  "mcpServers": {
    "adk-python-mcp": {
      "command": "python",
      "args": ["path/to/client.py"]
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.