"Information about FAISS (Facebook AI Similarity Search)" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides agent-friendly web search via MCP with zero-config free engines, region-aware failover, freshness filtering, and a one-call research tool that searches, fetches, and summarizes pages.

Provides intelligent search aggregation for AI agents, automatically detecting intent and returning structured results with links to platforms for various categories like movies, books, products, courses, and more.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

MCP server for the AI Patent Search Generator — 11 tools for patent intelligence: dossier (claims, citations, family, classifications, examiner stats), prosecution (USPTO file wrappers), oa_analyze (AI Office Action analysis), search/query (Google Patents multi-strategy), similar, citations, family, examiner, cpc, balance. Install: npx -y patent-search-mcp-server

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.

Enables searching, retrieving details, and monitoring Facebook Marketplace listings through direct GraphQL API calls using existing Chrome session cookies, with support for saved searches and price/location filters.

Enables searching and scraping the public Facebook Ad Library to extract structured ad data such as advertiser, copy, landing URLs, and CTAs for competitive research, all without an account or API token.

Enables competitive intelligence, market analysis, and advertising insights by providing 15+ advanced tools to search, analyze, monitor, and predict Facebook ad performance.

Enables web search on Chinese internet content using Bocha AI, returning results as Markdown or JSON with configurable freshness and summary options.

Provides AI-driven web search, page fetching, and site mapping with real xAI citations, enabling LLM clients to access up-to-date external information.

Aggregated search API service that provides real-time web search capabilities for AI assistants via MCP.

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

Enables semantic and full-text search over the official Model Context Protocol registry to discover MCP servers for integration.

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

This read-only MCP Server allows you to connect to Facebook data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A federation MCP server that sits in front of multiple memory backends and presents a unified search surface to AI agents, allowing a single query to search across knowledge graphs, session history, and web search.