Expo MCP Server

A search API tailored for LLMs, providing web search, RAG context generation, and Q&A capabilities through the Tavily API.

Harvests scientific papers from arXiv and OpenAlex, providing real-time access to metadata and full text.

Crawleo MCP - Web Search & Crawl for AI Enable AI assistants to access real-time web data through native tool integration. Two Powerful Tools: web.search - Real-time web search with flexible formatting Search from any country/language Device-specific results (desktop, mobile, tablet) Multiple output formats: Enhanced HTML (AI-optimized, clean) Raw HTML (original source) Markdown (formatted text) Plain Text (pure content) Auto-crawl option for full content extraction Multi-page search support web.crawl - Deep content extraction Extract clean content from any URL JavaScript rendering support Markdown conversion Screenshot capture Multi-URL support Features: ✅ Zero data retention (complete privacy) ✅ Real-time, not cached results ✅ AI-optimized with Enhanced HTML mode ✅ Global coverage (any country/language) ✅ Device-specific search (mobile/desktop/tablet) ✅ Flexible output formats (4 options) ✅ Cost-effective (5-10x cheaper than competitors) ✅ Simple Claude Desktop integration Perfect for: Research, content analysis, data extraction, AI agents, RAG pipelines, multi-device testing

Pre-build reality check for AI agents. Scans GitHub, HN, npm, PyPI & Product Hunt — returns a 0-100 signal.

Search concept relationships in the Unreal Engine official documentation using a Neo4j-powered knowledge graph.

Interact with the arXiv.org paper database. Supports keyword search, paper lookups, author searches, and trend analysis.

Search for fish species using the FishBase database. Supports natural language queries in both Japanese and English.

A lightweight Model Context Protocol (MCP) server that exposes Greenbook data and tools for market research professionals, analysts, and related workflows.

Semantic code search using the Qdrant vector database and OpenAI embeddings.

Production-ready RAG out of the box to search and retrieve data from your own documents.