"Tor Project" matching MCP servers:

Enables AI agents and compatible MCP clients to fetch, search, and download web content—including .onion services—anonymously through the Tor network, using a fresh circuit per call and retrying when exit nodes are blocked.

Enables secure access to Tor/onion services with content filtering and safety guardrails for AI assistants.

MCP server that converts web page URLs to Markdown via the Zyla API.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Enables proactive company exposure research by searching onion pages through Tor and permitted Telegram channels, fetching matching content with source links and timestamps, and inspecting early warning signals such as targeting, exposed information, alleged data sales, and threat activity. The same tools can be called repeatedly by monitoring agents or scheduled workflows to compare new or changed evidence.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

MCP server that connects AI assistants to a supervised Firefox session routed through Tor, enabling browsing of HTTP(S) and .onion pages, reading content, taking screenshots, extracting forum data, and managing sessions.

This project is a Model Context Protocol (MCP) server that fetches articles from GeekNews. It is implemented in Python, and performs web scraping using BeautifulSoup.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Automated SEO, AEO, ADA auditing for your website or project.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Enables searching onion services through multiple search adapters and reading pages over Tor, with tools for fetching, status checks, link extraction, and Tor health plus content filtering and in-memory caches.

Enables AI agents to operate an isolated local Chromium browser through MCP, with semantic snapshots, ref-based actions, search, research, crawling, and CDP access.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.