Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.
MIT
304,919 tools. Last updated 2026-07-21 23:20
"MCP with RAG capabilities" matching MCP tools:
- Search and filter RAG-capable MCP servers by query, categories, score, transport, and other criteria to find the right retrieval server for your task.MIT
- Returns YAML containing Redmine API specifications and MCP server capabilities for provided path templates.Mozilla Public 2.0
- Send chat messages to AI models with optional RAG capabilities for retrieving information from documents. Configure parameters like temperature and system prompts to customize responses.
- Retrieve relevance-ranked web content with actual page text, tables, and code for AI grounding and RAG pipelines.MIT
- Export a completed dataset as text in jsonl, csv, json, md, xml, or rag format for LLM fine-tuning, spreadsheet analysis, or structured interchange.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceProvides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.Last updated1MIT
- Flicense-qualityDmaintenanceThe MCP server provides tools for entity extraction, query refinement, and relevance checking to enhance RAG applications by integrating with OpenAI and Gemini.Last updated
Matching MCP Connectors
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.
- Discover Scrivener MCP capabilities by listing available skill groups with descriptions, tool counts, and activation status. Use this to identify and activate needed tools.AGPL 3.0
- Clear cached RAG retrievals to force fresh results from source when context changes.MIT
- List Akamai Cloud regions to identify available deployment locations with details on capabilities, country, site type, and status.Apache 2.0
- Retrieve comprehensive details about any Apify Actor including its description, input schema, README, pricing, stats, and MCP tools. Specify exactly which information to fetch to optimize token usage.MIT
- Search open bounties for paid engineering work across software, hardware, MCP servers, CAD, EDA. Filter by category, status, and payout to discover tasks matching your capabilities.MIT
- Retrieve a merchant's MCP server configuration, available tools, rate limits, and capabilities to obtain integration details after searching for merchants.MIT
- Get an overview of SPEDAS MCP capabilities and the recommended workflow for heliophysics data discovery and fetch.MIT
- List available AI models with capabilities and pricing to compare options for your projects.MIT
- Lists all available capabilities currently configured for your API key mode on this server.MIT
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
- Lists all available RAG categories indexed by RAGMap to help you identify suitable retrieval servers for your task.MIT
- Ask natural language questions to get answers with cited sources from the Onyx knowledge base using RAG.MIT
- Retrieve LAZY-RAG cache statistics including hits, misses, hit rate, and cache size to monitor caching performance.MIT
- Parse code files into semantic chunks such as functions, classes, and methods to improve retrieval in RAG systems.MIT