@adarshp14
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"google-form-mcp-server": {
"command": "python",
"args": [
"app.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that integrates Google Forms API with the CamelAIOrg agent framework to create, modify, and retrieve forms using natural language instructions. The system consists of a Flask-based MCP server exposing Google Forms operations as tools, and an AI agent that translates natural language requests into MCP tool calls.
Deploy with Docker Compose (docker-compose up --build) after setting up Google OAuth2 credentials in a .env file. Access the web interface at http://localhost:5000 to enter natural language requests such as "Create a feedback form with 3 questions". The UI visualizes the request flow between the frontend, agents, MCP server, and Google APIs.
The MCP server uses OAuth2 credentials (client ID, client secret, and a refresh token) to authenticate with Google Forms API. It translates structured MCP tool calls (e.g., `create_form`, `add_question`) into concrete Google API requests.
You need Docker and Docker Compose, a Google Cloud Platform account with Google Forms API and Google Drive API enabled, and OAuth2 credentials (web application type with a redirect URI of `http://localhost:5000/oauth2callback`).
All forms and responses are stored in Google Forms/Google Drive through the Google Forms API. The server does not persist form data locally beyond processing API responses.
Yes. You can run the MCP server by navigating to the `server/` directory, installing dependencies with `pip install -r requirements.txt`, and executing `python app.py`. Similarly, the agents service can be run from the `agents/` directory with `pip install -r requirements.txt` and `python agent_server.py`.
The MCP server uses HTTP REST endpoints (`GET /api/schema`, `POST /api/process`) and authenticates with Google via OAuth2 tokens configured in environment variables. The CamelAIOrg agent communicates with the MCP server over HTTP using the defined tool schema.
Senso MCP turns a Joomla 5 or 6 site into a remote MCP server. It runs inside Joomla itself (no extra server, no Node.js bridge) and is secured with OAuth 2.1 and Joomla's own ACL. The free pack lets an AI assistant crea
A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w
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Model Context Protocol Servers
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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