"Search for information about 'rag'" matching MCP servers:

Exposes a RAG document-search API as MCP tools (rag_health, rag_ingest, rag_query), enabling agents to index and search markdown documents with cited results through natural language.

MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.

Enables local knowledge base management with retrieval-augmented generation (RAG), providing semantic search, document reading, listing, and Q&A via MCP tools and REST endpoints, all running locally without cloud dependencies.

Minimal local RAG stack with an MCP server that provides document search for any agent.

Enables LLM clients to run Brave LLM Context web searches and fetch readable markdown extracts from URLs, including specialized site extraction, PDF text, raw mode, and pagination.

Enables Web3-focused web searches via the OptimAI External Search API, providing tools to start, retrieve, list, and cancel searches from any MCP-compatible AI host.

Installable MCP server for EU legal research with verifiable CELEX citations from the EUR-Lex corpus (DE/EN/FR).

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

A Model Context Protocol server for indexing and searching local document collections with hybrid BM25+vector search, optimized for Korean and English, supporting DOCX, PDF, audio, and more.

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Enables web search and deep multi-source research for Cerase agents via LiteLLM proxy, with billing attribution per agent.

MCP server for AI search crawler governance, brand safety, and search infrastructure auditing. Provides tools to audit robots.txt, canonical links, sitemaps, redirects, and send IndexNow notifications.

Enables AI assistants to perform real-time web searches and retrieve AI-generated answers using the Yandex Search API. It provides tools for accessing up-to-date internet information with support for both raw search results and summarized content via the Yazeka model.

Enables web search and AI-summarized answers via an x402-gated gateway, with options for structured results or enriched summaries, accessible as an MCP server.

Enables agent-native web search and multi-angle research synthesis with pay-per-call USDC payments on Base via x402, requiring no API keys or subscriptions.

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

Connect AI assistants to Manticore Search. Execute SQL queries, list tables, get schemas, and fetch documentation. Perfect for building RAG applications and search-powered AI agents.

A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.

An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.

Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.

Read-only search over Ahrom Labs' published guides on Indian ERP requirements, IBR 2026 boiler forms, interior BOQs, TallyPrime integration and AI assistants for business data. Returns passages with the URL of the page each came from; no sign-in.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Enables simulation of quantum circuits, including state-vector evolution, entanglement, measurement, and Grover amplitude amplification for unstructured search tasks through MCP-compatible AI assistants.

A local-first RAG engine that ingests documents (PDF, Markdown, images, etc.) and provides hybrid search, reranking, and LLM answer synthesis via MCP for AI agent integration.

Provides AI coding agents with structured access to indexed codebases via semantic search, symbol analysis, and file reading tools.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

Enables AI agents to search through Memex conversation history and local project files to retrieve specific commands, code snippets, and technology overviews. It utilizes smart context management and faceted filtering to provide relevant search results without causing context overload.

Enables deterministic auditing of RAG retrieval faithfulness and hallucination scores, providing structured JSON output for AI agents and MCP-compliant clients.

Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.

Enables semantic search of shell session history, matching user intents to relevant CLI commands for keyboard-first developer workflows.