Google's MCP server provides a framework for deploying and managing AI models. It exposes APIs for model versioning, serving, and monitoring. Connects to Google Cloud services for storage and compute. Used by developers building scalable AI applications on Google Cloud.
Google's MCP server provides a framework for deploying and managing AI models. It exposes APIs for model versioning, serving, and monitoring. Connects to Google Cloud services for storage and compute. Used by developers building scalable AI applications on Google Cloud.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"google-mcp-github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-mcp-github"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp?"
No configuration required. This server works out of the box.
"What resources are available in mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.