Gemini Context MCP Server is a powerful implementation of the Model Context Protocol (MCP) that enhances AI tools by leveraging Gemini's extensive 2M token context window for context management and caching. It supports session-based conversations and smart context tracking.
Gemini Context MCP Server is a powerful implementation of the Model Context Protocol (MCP) that enhances AI tools by leveraging Gemini's extensive 2M token context window for context management and caching. It supports session-based conversations and smart context tracking.
Clone the repository, install dependencies, set up your environment variables with your Gemini API key, and start the server using Node.js.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"gemini-context-mcp-server": {
"command": "npx",
"args": [
"-y",
"Clone the repository, install dependencies, set up your environment variables with your Gemini API key, and start the server using Node.js."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Gemini Context MCP Server?"
No configuration required. This server works out of the box.
"What resources are available in Gemini Context MCP Server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Gemini Context MCP Server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Gemini Context MCP Server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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