Google PageRank for AI agents. 25,000+ tools indexed.

estudIA-MCP by JpAboytes

#3826 of 4710 by JpAboytes
23 score

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.

Ranked #3826 out of 4710 indexed skills.
🔑
Is this your tool? Claim this listing to add maintainer context, get a verified badge, and unlock analytics.
Claim listing →

Signal Breakdown

Installs 0
Freshness GitHub not linked
Issue Health GitHub not linked
Stars GitHub not linked
Platform Breadth 1 platform
Contributors GitHub not linked
Description Detailed

How to Improve

Platforms medium impact

Only 1 platform listed — publishing to more platforms improves your score

Badge

AgentRank score for estudIA-MCP by JpAboytes
[![AgentRank](https://agentrank-ai.com/api/badge/skill/glama-JpAboytes--estudIA-MCP)](https://agentrank-ai.com/skill/glama-JpAboytes--estudIA-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/skill/glama-JpAboytes--estudIA-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/skill/glama-JpAboytes--estudIA-MCP" alt="AgentRank"></a>

Supported Platforms

MCP