"search" matching MCP servers:

Enables AI assistants to search the web using Google Search via Gemini grounding, returning a summarized answer with inline citations and a list of source URLs.

Enables MCP clients to perform X/Grok searches through xAI's server-side search tool using the Responses API, returning upstream results without rewriting.

Enables AI agents to search, retrieve, and analyze SEC 10-K filings with hybrid BM25+kNN retrieval, per-claim citations, and strict numeric grounding verification.

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

Enables agents to find lines in local text files by meaning rather than exact keywords, judging each nonblank line against a natural-language intent and returning scores for every line. It complements lexical search by running locally over stdio and calling a hosted model for the semantic comparison.

Enables any calling model to search public X content through Grok's native search using an existing local OAuth login, returning summaries, structured posts, source URLs, and search counts while sharing cached and concurrent searches across local terminals.

Enables AI clients to run local semantic search over your own documents and code in Chinese or English, with embeddings computed on an Intel NPU. Also lets clients check index status and trigger reindexing.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Enables AI coding assistants to retrieve real-time web information, current documentation, APIs, and news with verified source citations.

Enables AI agents to search for reference images using natural language queries, aggregate results from multiple image sources, and interactively select, refine, and download images through tool calls.

Enables semantic search across multiple AI library documentations to keep coding assistants up-to-date.

An intelligent research assistant MCP server for AI agents, providing task-oriented literature search and analysis across multiple academic databases.

Semantic code search for Claude Code, enabling natural language codebase indexing and search using AI embeddings.

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.

An MCP server that integrates with AI models to provide web search capabilities through a single, easy-to-use tool interface.

Enables MCP clients and a terminal CLI to run web searches through a user's own SearXNG instance, saving every query as a reusable session and optionally generating AI-synthesized answers.

MCP server that integrates Google's Gemini 2.5 Pro with real-time Google Search grounding for current information retrieval.

Provides web and image search using the Doubao (Volcengine) API with configurable parameters.

A Model Context Protocol server that uses Google Vertex AI and Gemini 3.5 Flash to perform deep research with high thinking capability and live Google Search grounding, enabling intelligent, multi-source research via a single tool.

An MCP server that enables Claude Desktop to perform web searches with AI analysis using DuckDuckGo and OpenAI GPT-4.