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.
138,514 tools. Last updated 2026-05-20 13:38
"MCP with RAG capabilities" matching MCP tools:
- Execute a full RAG pipeline to answer user questions by retrieving relevant document chunks and quoting them directly.MIT
- Retrieve the capabilities exposed by an MCP server instance, including total counts and current tool, resource, and prompt surfaces. Use for server-specific exposure instead of integration-level lists.MIT
- List all capabilities of an MCP integration, showing total and enabled-state entries, to compare the current surface before toggling capabilities.MIT
- Search for MCP servers by use case or keyword, evaluating trust signals like security and runtime scores, and filtering by capabilities.MIT
- Loads episodic context for a new task by combining RAG store, vault history, and sealed handoff data. Returns JSON with rag_matches, vault_history, handoff, and continuity type.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceProvides 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 updatedMIT
- AlicenseAqualityCmaintenanceProvides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.Last updated4301MIT
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.
- Stores a knowledge fragment with source and evidence tier metadata for future retrieval via semantic RAG queries.MIT
- Update capabilities on an MCP server by enabling or disabling tools, prompts, or resources. Changes apply immediately and override integration-level settings.MIT
- Parse code files into semantic chunks such as functions, classes, and methods to improve retrieval in RAG systems.MIT
- Bulk enable or disable capabilities on an MCP integration, immediately hiding or exposing selected tools, resources, and prompts for connected users.MIT
- Retrieve a list of available tools and their capabilities within Tatum MCP Server, optionally filtered by category, to streamline integration with blockchain APIs and related features.MIT
- Query OSCAL Component Definitions to find capabilities and components. Supports searching by UUID, title, or type, with capabilities prioritized over components.Apache 2.0
- List all Midjourney API actions and their corresponding tools. Use this reference to explore the full capabilities of the Midjourney MCP server.MIT
- Discover server capabilities, supported AWS services, compliance frameworks, and intelligence engines to understand how to use the AWS Security Posture Advisor for security assessments.Apache 2.0
- List all Seedream models with capabilities and pricing to help choose the right model for a task.MIT
- Verify server identity and protocol compatibility by retrieving the manifest with protocol version, server name, and available capabilities before interacting with tools.Apache 2.0
- View automatically disabled capabilities due to high error rates, showing backend details and suspension duration. Disabled capabilities auto-recover after cooldown periods.
- Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.MIT
- Retrieve OPA capabilities including builtins, future keywords, and features. Optionally filter by version or get current OPA's capabilities.MIT
- List available Seedance models and compare their capabilities, strengths, and pricing to select the right one for your video generation project.MIT