estudIA
RAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.
What is estudIA?
estudIA is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to rag-enabled mcp server that uses google gemini for embeddings and supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.
RAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- RAG-enabled MCP server that uses Google Gemini for embedding
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx estudia-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about estudIA
What is estudIA?
estudIA is a Model Context Protocol (MCP) server that rag-enabled mcp server that uses google gemini for embeddings and supabase for vector storage, enabling semantic search and document similarity matching through natural language queries. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install estudIA?
Follow the installation instructions on the estudIA GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with estudIA?
estudIA works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is estudIA free to use?
Yes, estudIA is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up estudIA in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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