"Adding web browsing and page reading capabilities to an agent" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

The MCP for the Web Speed Agent SDK that enables post-auth agents.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables local EPUB reading with AI agents, supporting annotations, parallel editions, and MCP tools.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

Enables AI agents to control a Live2D desktop pet's expressions and actions via MCP protocol.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

MCP server for the Agent Web Combo toolkit, enabling AI agents to perform multi-source web search, page content extraction, and JavaScript-rendered page screenshotting via Kitesurf/Playwright, with optional agent-reach platform integration.

An MCP server enabling AI agents to access the internet via web scraping, crawling, searching, and structured data extraction using Firecrawl.

Enables MCP-compatible agents to perform web searches via the agent-web-search engine, returning ranked results with sources.

Provides a unified web search tool for AI agents by running multiple search providers concurrently and returning normalized results. It integrates with Claude Code, Codex CLI, OpenCode, and Hermes.

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Enables automated web research and intelligence gathering through recursive web crawling, multi-engine search integration, and persistent SQLite storage with support for keyword filtering and multiple export formats.

Enables AI assistants to monitor web pages for content changes and receive alerts when changes occur.

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.

An MCP server that deterministically scores landing pages on conversion-critical signals and blocks ad spend on low-quality pages to prevent wasted budget.