Deepwiki Mcp
📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors
1,017 servers
📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors
Web search, crawl, scrape & extract with agent-browser, SearXNG, Tavily, DuckDuckGo, Bing & more
🚀 OneSearch MCP Server: Web Search & Scraper & Extract, Support agent-browser, SearXNG, Tavily, DuckDuckGo, Bing, etc.
A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
MCP server for Olostep — the web scraping, crawling, and search infrastructure used by top AI companies. Gives any MCP-compatible AI agent the ability to scrape, crawl, batch-extract, and search the web in real time.
956k Swiss court decisions: full-text search, citation graph, statute lookup (DE/FR/IT)
AI-powered CLI and MCP server for browsing GitHub project documentation (unofficial tool)
The open retrieval layer for AI agents — index code, docs, data. Search via MCP.
MCP server and CLI for discovering and installing AI coding assistant capabilities — skills, agents, and tools — via semantic search and one-command setup.
A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, keyword research, traffic estimation, and more — directly in your AI-powered IDE.
Markdown vault MCP server with FTS5 + semantic search and frontmatter indexing
Evidence-backed web research for AI agents with citations and confidence scores.
A MCP server for Vertex AI Search
Search horse boarding facilities and trainers across 44 US states.
Docs-only MCP server that exposes XMTP docs as searchable tools for MCP-compatible clients
HOL MCP server for agentic search, discovery, registration, chat, and more with the Hashgraph Online Registry Broker. https://hol.org
Luxembourg legislation via MCP — full-text search across statutes and provisions
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
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