Obtain statistics about a RAG vector store collection to understand its size and composition.
MIT
650,527 tools. Updated 2026-10-14 06:11
"Information about RAG" matching MCP tools:
- Answer questions about Commodore 64 documentation by retrieving and synthesizing information from multiple sources. Provides answers with citations and confidence scores.-
- Retrieve detailed information about a specific RAG project within the Calibre ebook library, including its configuration, contents, and organization for semantic search and contextual conversations.-
- Displays welcome information about WayStation when the user says hello.MIT
- Get details about OpenGolfAPI including dataset size, license, contribution guidelines, and maintainer contact information.MIT
- Find information about MyDriverParis services, coverage areas, airports served, and policies to respond to customer inquiries about included features.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceLocal RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.13438 PyPI292MIT
- AlicenseAqualityCmaintenanceMCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.4Apache 2.0
Matching MCP Connectors
Public remote MCP server for StruXure NorCal pergola services, FAQs, and contact requests.
- ai·rete·ragOAuth
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
- Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.Apache 2.0
- Retrieve detailed information about a specific project by providing its ID.MIT
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Retrieve complete information about a specific tool, including all details about its input schema and purpose.MIT
- Refreshes the RAG cache by syncing catalog data from Google Sheets, ensuring AI assistants use up-to-date catalog information.MIT
- Delete a knowledge entry from RAG using its ID to remove outdated or incorrect information from the knowledge base.MIT
- Retrieve detailed information about a specific security incident by providing its unique identifier.MIT
- Analyze git diff between two refs to map changed files to wiki pages and code entities, or answer questions about the diff using RAG.MIT
- Displays session efficiency: token usage, RAG savings, and learned patterns. Call after multi-step tasks to reveal context saved by RAG versus full documentation loads.MIT
- Display session efficiency statistics: token usage, RAG savings, and patterns learned. Quantify context saved by RAG versus loading full documentation.MIT
- Fetch information about the authenticated user to verify identity and manage session context.MIT
- Validate API credentials and get information about the authenticated user or organization.MIT
- Get information about the currently authenticated user to verify identity and session details.MIT
- Retrieve detailed information about a specific invoice using its Productive ID.ISC