"namespace:.run.mcpize.bintu-web-reader" matching MCP servers:

A self-hosted MCP server that reads web pages and converts them to Markdown, with built-in web search and anti-crawl fallback using Playwright.

Enables fetching and reading content from web URLs through a configurable proxy prefix. Uses curl to retrieve webpage content and return it as text for analysis or processing.

Enables AI assistants to load and interrogate very large local PDFs, Word/WPS-atypical trademark-noise eliminated naturally recognisable document families... Wait malformed intentional-looking contamination abs——

MCP server extending Jina Reader to provide web page/PDF to Markdown reading and Bocha AI/web search via a single HTTP endpoint, exposing read, search, and MCP tools.

Jina AI Reader/Search MCP that turns any URL into clean LLM-ready markdown and provides web search.

Enables an LLM agent to read the Telegram channels and groups your account can see, search and fetch messages, and download posts' videos and files under names taken from the post, while excluding private chats, bots, and Saved Messages.

Enables web searches through DuckDuckGo without an API key and extracts readable main content from web pages.

Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.

Odysseus Web MCP is a standalone Model Context Protocol (MCP) server for safe public-web search and URL fetching.

MCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.

MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.

MCP server for searching and retrieving arXiv papers with full-text PDF extraction.

Search and read arXiv papers directly from Claude. Supports keyword, author, category, and date filtering plus full PDF text extraction so Claude can read, summarise, and reason over entire papers, not just abstracts.

Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.

Gives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.

Enables MCP clients like Claude to access a user's Medium account, including Following and For you feeds, full member-only posts, search, reading lists, and managing follows, saves, and claps after a one-time browser login.

Enables MCP-capable agents to perform local web research under a declared plan with session budgets, user-approved limit extensions, and guardrails for safe searching, page fetching, content extraction, and audit logging.

A Model Context Protocol server that enables AI assistants to read PDF files, extract text, retrieve metadata, read specific pages, and search within PDFs.

Enables agents to perform local metasearch, scholarly and code/model lookups, and fetch rendered web pages or PDFs as paginated markdown, including stealth browsing and arXiv paper overviews.

Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.