Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.
Enables AI agents in Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, Gemini CLI and Codex to scrape web pages into Markdown, text, HTML, JSON or PDF, extract structured data with selectors or autoparse, capture screenshots and PDFs the model can see, drive pages with typed browser actions, keep logged-in persistent browser sessions, and batch-scrape thousands of URLs as async jobs. It also exposes usage, request-log and documentation tools so agents can check costs, diagnose failures and look up parameters without leaving the chat.
MCP Bridge is a local-first Linux/Windows desktop app connecting ChatGPT to approved files and Chrome through authorized OpenAI tunnels, with optional shell tools. The Glama-hosted v0.1.0 release is a restricted READ-ONLY documentation demo: five tools can access only bundled public examples, not your computer, browser, credentials, shell, or files.
A local-first MCP server for web search and documentation fetching, providing free DuckDuckGo search, URL-to-markdown conversion, and library docs from npm, PyPI, crates.io, Go, and GitHub with caching.
Enables hybrid web search and intelligent content extraction, combining semantic search with documentation-optimized reading that strips noise and returns clean, token-efficient context for AI agents.
Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.
Provides AI-powered research capabilities through Perplexity's web interface, enabling web search, deep research, chat, and documentation retrieval without API keys.
Comprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.
A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.
A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.
Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.
Enables AI agents and MCP clients to search the Scrape.ly Store for Actors, read their README and input schema, run them, follow runs, and read results from datasets, key-value stores and logs. It also supports managing saved tasks and searching the Scrape.ly and Crawlee documentation.
Enables AI assistants to interact with the Nimble REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
Atlas helps AI agents understand and use information from the web without token bloat or hallucinations. It transforms messy web pages, SPAs, and documentation into clean, structured Markdown and JSON, providing powerful tools for deep compilation, fast scraping, multi-page crawling, and domain mapping.
A Model Context Protocol (MCP) server that scrapes, indexes, and searches documentation for third-party software libraries and packages, supporting versioning and hybrid search.
Scrapes webpages and converts them to clean Markdown using browser automation, ideal for creating READMEs, documentation, or processing dynamic web content.