"The Models Resource" matching MCP servers:

Enables AI assistants to access real-time web data through search, markdown scraping, and browser automation while bypassing anti-bot protections. It provides tools for web research, e-commerce monitoring, and data extraction from across the globe.

An MCP server that turns your Sell The Trend account into an AI-drivable product-research engine and generates detailed, decision-ready PDF dossiers for any niche.

A browser automation MCP server that enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or vision models.

Enables AI models to search the web for current information before generating responses, with features for conditional searching, geographic customization, and automatic citations.

Enables ChatGPT to inspect public Instagram, Threads, and web resources through a local browser and return a schema-validated Evidence Packet for evidence-first review.

A FastMCP server that enables browser automation through natural language commands, allowing Language Models to browse the web, fill out forms, click buttons, and perform other web-based tasks via a simple API.

Enables compatible MCP clients to read JavaScript-rendered web pages as bounded Markdown or structured records, with URL policy and resource limits for safe, inspectable access.

A read-only MCP server that gives AI agents the web as compact, ranked, verified evidence — no API keys, no cloud retrieval, all models local.

Integrates the Brave Search API into AI assistants to enable web and local business search capabilities. This allows models to perform real-time information retrieval and locate places using the Model Context Protocol.

Enables AI models to search the web using DuckDuckGo, scrape webpage content in markdown format, and browse/read local files for code analysis and debugging.

📇 ☁️ - Capture web pages as cryptographically signed, tamper-evident evidence. Ed25519 signatures, RFC 3161 timestamps, and WACZ archives. Four tools: capture_url, get_capture, list_captures, verify_capture.

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

Lets AI agents browse and read a university's student resource center portal, retrieving the resource pages for a given admission year and department along with progression and graduation requirements, student handbook sections, academic calendars, bus timetables, class advisors, application forms and manuals, and contact information, each answer cited with its source document and page. It is an unofficial tool that runs locally and drives Chrome or Edge to access the portal on the user's behalf.

Enables parsing and extracting content from WeChat public account articles using browser simulation, supporting multiple output formats (JSON, Markdown, HTML) and media resource extraction.

Demonstrates using Playwright with the Model Context Protocol (MCP) to enable large language models to automate browser interactions, with an example of cursor-based pagination against the GitHub GraphQL API.

Enables AI models to search and read topics from the Sankhya community discussion forum.

Provides web search capabilities using the Tavily API, enabling AI models to search the internet and retrieve up-to-date information.

A server that allows AI models to control and interact with aircraft in the GeoFS browser-based flight simulator through standardized interfaces.

Provides standard MCP tools for web search, page fetching with content extraction, and a combined research workflow that returns sources with excerpts, plus a session resource and fact-check prompt template.

Custom MCP tools for local development that enable file system access, shell command execution, and web resource browsing. Designed for local use with safety considerations for potentially destructive operations.