"Understanding Vector Search" matching MCP servers:

A clean architecture backend API that registers and semantically searches data using vector embeddings, acting as an MCP context provider to connect AI models to external data.

A CLI-first semantic code search tool with MCP integration for AI assistants, enabling semantic search, AST-aware parsing, and code analysis across 13 languages.

Combines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.

Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

Enables web search without API keys using DuckDuckGo and Bing search engines, and retrieves webpage content. Supports multiple search engines simultaneously with privacy protection and asynchronous processing.

MCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.

Federated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.

brave search

An MCP server that retrieves resume/experience evidence relevant to a job description via vector RAG, and tracks fit-analysis results in a configurable tracking store (Notion or SQLite), with tools like match_job, push_to_tracker, and list_applications.

An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Image Search, Video Search, News Search and LLM Context Search capabilities

MCP server for web search using the Brave Search API, supporting filters for freshness, language, country, and safe search.

MCP server enabling parallel web search and batch browsing with intelligent content understanding via MiniMax LLM.

Provides AI-powered search, web search, image search, video search, news search, and web scraping via Kivest AI Search API, with smart rate limiting and request queuing.

Enables real-time web search via DeepSeek's search-enhanced dialogue, providing search results as answers through MCP tools.

MCP server for web search via Perplexity Sonar Pro through OpenRouter API, enabling customizable search queries with different models.

Enables searching X (formerly Twitter) using xAI's Responses API with support for filtering by handles, date ranges, and media understanding, returning structured results with citations.

Allows you to search the web using DuckDuckGo and optionally fetch and summarize content from search results.