by universal-mcp
Provides a standardized interface to interact with Google SearchConsole tools and services through a unified API built on the Universal MCP framework.
Provides a standardized interface to interact with Google SearchConsole tools and services through a unified API built on the Universal MCP framework.
uv
package manager (pip install uv
).uv sync
source .venv/bin/activate
.venv\Scripts\Activate
mcp dev src/universal_mcp_google_searchconsole/server.py
Note the address and port shown in the console.mcp install src/universal_mcp_google_searchconsole/server.py
uv
for dependency management, with simple mcp dev
and mcp install
commands.src/universal_mcp_google_searchconsole/README.md
.Q: Do I need a Google Cloud project or API key?
A: Yes. Set the required credentials (e.g., GOOGLE_APPLICATION_CREDENTIALS
) in the .env
file before running the server.
Q: Which Python version is required? A: Python 3.11 or newer is recommended.
Q: Can I deploy this server to a cloud platform?
A: Absolutely. After local testing, package the project and run the same mcp
commands on any environment that supports Python.
Q: Where can I find the list of available tools?
A: In src/universal_mcp_google_searchconsole/README.md
within the repository.
This repository contains an implementation of an Google SearchConsole Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Google SearchConsole's tools and services through a unified API.
The server is built using the Universal MCP framework.
This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.
You can start using Google SearchConsole directly from agentr.dev. Visit agentr.dev/apps and enable Google SearchConsole.
If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart
The full list of available tools is at ./src/universal_mcp_google_searchconsole/README.md
Ensure you have the following before you begin:
pip install uv
)Follow the steps below to set up your development environment:
Sync Project Dependencies
uv sync
This installs all dependencies from pyproject.toml
into a local virtual environment (.venv
).
Activate the Virtual Environment
For Linux/macOS:
source .venv/bin/activate
For Windows (PowerShell):
.venv\Scripts\Activate
Start the MCP Inspector
mcp dev src/universal_mcp_google_searchconsole/server.py
This will start the MCP inspector. Make note of the address and port shown in the console output.
Install the Application
mcp install src/universal_mcp_google_searchconsole/server.py
.
├── src/
│ └── universal_mcp_google_searchconsole/
│ ├── __init__.py # Package initializer
│ ├── server.py # Server entry point
│ ├── app.py # Application tools
│ └── README.md # List of application tools
├── tests/ # Test suite
├── .env # Environment variables for local development
├── pyproject.toml # Project configuration
└── README.md # This file
This project is licensed under the MIT License.
Generated with MCP CLI — Happy coding! 🚀
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