The genai-toolbox is an open-source MCP server designed for integration with various databases, including BigQuery, MongoDB, and PostgreSQL. It helps developers to use AI capabilities across multiple database platforms, enhancing data management and analytics.
claude install googleapis/genai-toolboxThe genai-toolbox is an open-source MCP server designed for integration with various databases, including BigQuery, MongoDB, and PostgreSQL. It helps developers to use AI capabilities across multiple database platforms, enhancing data management and analytics.
["1. Install the genai-toolbox and ensure it is properly configured to connect to your database. Follow the installation instructions in the official documentation.","2. Use the prompt template to specify the database type, field name, value, and the fields you want to include in the output. For example: 'Using the genai-toolbox, connect to my MongoDB database and retrieve all documents where address.zip matches 11111. Format the output as a JSON array with the following fields: firstname, lastname, email.'","3. Run the prompt in your AI tool (e.g., Claude, ChatGPT) to execute the query. The AI will use the genai-toolbox to connect to the database and retrieve the requested data.","4. Review the output and ensure it meets your requirements. If necessary, refine your prompt and run the query again.","5. For better results, ensure your database is properly indexed for the fields you are querying. This can significantly improve query performance."]
Integrating AI with BigQuery to perform advanced data analytics and generate real-time insights.
Automating routine database queries using AI agents to reduce manual effort and increase efficiency.
Building custom AI solutions for data management that adapt to specific business requirements.
Enhancing data retrieval processes across MongoDB and PostgreSQL with intelligent query optimization.
claude install googleapis/genai-toolboxgit clone https://github.com/googleapis/genai-toolboxCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using the genai-toolbox, connect to my [DATABASE_TYPE] database and retrieve all documents where [FIELD_NAME] matches [VALUE]. Format the output as a JSON array with the following fields: [FIELD_LIST]. For example, if the database is MongoDB and the field is 'address.zip', the output should include 'firstname', 'lastname', and 'email'.
Here is the output from a MongoDB database query using the genai-toolbox:
```json
[
{
"firstname": "Bob",
"lastname": "Smith",
"email": "bob@smith.com",
"address": {
"street": "100 Main St",
"city": "Anytown",
"state": "MO",
"zip": "11111"
}
},
{
"firstname": "Alice",
"lastname": "Johnson",
"email": "alice@johnson.com",
"address": {
"street": "200 Elm St",
"city": "Othertown",
"state": "NY",
"zip": "11111"
}
}
]
```
This output shows two documents where the 'address.zip' field matches '11111'. The fields 'firstname', 'lastname', and 'email' are included as requested.Streamline talent acquisition with collaborative tools and customizable interview processes.
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