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

A Model Context Protocol server that connects MCP-compatible clients like Claude and VS Code to your Readwise Reader library, allowing them to list, retrieve, and update documents in your personal knowledge repository.

An MCP server that enables AI agents to instantly convert Markdown into beautiful, ready-to-deliver Word, PDF, HTML with sidebars, and Slideshow documents, bridging the "last mile" of AI content generation.

Enables testing and validation of MCP OAuth clients by observing whether they use Client ID Metadata Documents (CIMD), fall back to Dynamic Client Registration, or send static client IDs via a fake OAuth server and dashboard.

MCP server that lets AI editors execute JavaScript, read console output, and simulate clicks/input on static web pages. Supports multiple browser pages and can be deployed remotely via HTTP transport.

Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.

An MCP server that enables AI assistants to read, search, and analyze PDF files from local paths or URLs. It provides tools for extracting specific page ranges, searching for terms, and retrieving document metadata.

Enables AI assistants to search, read, and traverse Markdown note vaults (Obsidian-compatible) with full-text search, backlinks, knowledge graphs, and a persistent memory system for cross-session context.

Enables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.

Enables AI agents to read and search code across many git repositories — files at any branch, tag or commit, history, diffs, blame and cross-repo search — over local paths or remote hosts like GitHub, GitLab and Bitbucket. It is read-only by construction, hiding secrets found in files and working with any MCP client over stdio or Streamable HTTP.

A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.

MCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.

Enables web search via DuckDuckGo and web content fetching through the Model Context Protocol, allowing AI assistants to search and retrieve web page content.

Enables multimodal clients to browse server-side knee MRI studies, read reports, enumerate series, page through DICOM image previews, and inspect native-resolution details.

MCP server for AI-assisted PDF reading with pagination, search, and page navigation.

Enables AI chat backends to fetch public webpages and obtain cleaned readable text, Markdown, article content, metadata, and summary-ready prompts through MCP tools.

A high-performance Model Context Protocol server that enables AI agents to extract text, images, and metadata from PDF documents using parallel processing. It features intelligent Y-coordinate content ordering to preserve natural reading flow and supports both local files and URL-based sources.

Enables AI assistants to automate web interactions such as navigating pages, clicking elements, filling forms, querying the DOM, evaluating JavaScript, and inspecting network/console logs — all from a Termux terminal without Chromium, root, or proot.

Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.

Enables fetching, crawling, and browsing anti-bot protected web pages with real browser rendering, returning clean JSON or markdown, and solving captchas.

Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.