Obtain statistics about a RAG vector store collection to understand its size and composition.
MIT
466,647 tools. Updated 2026-08-19 19:04
"Information about RAG" matching MCP tools:
- 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.
- 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
- Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.Apache 2.0
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
Matching MCP Servers
- 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
- AlicenseAqualityBmaintenanceMinimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.1MIT
Matching MCP Connectors
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
- Retrieve the full content, metadata, and source of a specific knowledge chunk to inspect what content is used in RAG searches.MIT
- Retrieve detailed information about any Pokemon move by specifying its name.Apache 2.0
- Confirm that the dryad-rag-pipeline service is reachable to ensure agents can reliably index and search documents.MIT
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Retrieve information about the operations and capabilities available in the CSV Editor server.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- Delete a knowledge entry from RAG using its ID to remove outdated or incorrect information from the knowledge base.MIT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
- 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
- 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