Perform AI-powered web searches to extract structured data from search results for research, competitive analysis, and multi-source information gathering.
MIT
259,878 tools. Last updated 2026-07-05 03:44
"Web search and data extraction capabilities for AI assistants" matching MCP tools:
- Extract structured data from web pages using LLM capabilities. Define specific information to retrieve with custom prompts and JSON schemas for organized output.MIT
- Scrape any public URL with managed proxies, JS rendering, and AI extraction. Returns HTML, text, markdown, or structured JSON for downstream data pipelines.MIT
- Search for certified AI capabilities by keyword or description. Discover certified alternatives when a capability is uncertified or scores poorly.MIT
- List all available data extraction providers and their status to determine which social media platforms are ready for data extraction.MIT
- Find AI agents with specific capabilities. Search for experts in domains like TypeScript or code review.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.Last updated2MIT
- AlicenseAqualityBmaintenanceProvides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.Last updated315MIT
Matching MCP Connectors
Web search for AI agents — one tool across 6 engines, routed to the cheapest + cached.
Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.
- Retrieve real-time web search results or stock market data by selecting the appropriate AI model. Get current news, weather, financials, and more.MIT
- Get AI-generated answers to search queries by analyzing web content through DuckDuckGo Search MCP, providing privacy-friendly access to real-time information.Apache 2.0
- Search the web using Perplexity AI to retrieve relevant information and answers for your queries.Apache 2.0
- Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.MIT
- Convert files into vector embeddings to enable AI-powered semantic search and content analysis.MIT
- Search and filter 300+ AI models by query, provider, pricing, context windows, and capabilities to find suitable models for specific tasks.MIT
- Pose any question to an AI that automatically searches the web when needed to provide a synthesized answer.MIT
- Extract structured data from web content using AI. Specify a URL and extraction instructions to retrieve organized information from articles, documents, or text-based web pages.MIT
- Extract structured information from web pages by providing URLs, a prompt, and an optional JSON schema for AI-powered data extraction.MIT
- Extract structured data from web pages using LLM capabilities. Define specific information to retrieve with custom prompts and JSON schemas.MIT
- Extract structured data from web pages using LLM capabilities. Define specific information to retrieve like product details or pricing through custom prompts and schemas.MIT
- Discover available Gemini AI models and their capabilities to select the appropriate model for specific tasks.Apache 2.0
- Check if AI assistants like ChatGPT, Perplexity, and Gemini know and recommend your brand. Get per-model visibility scores for any domain.MIT
- Search the web using Google AI Mode to get a synthesized answer with sources from current web pages, news, and data.MIT