Damn Vulnerable Model Context Protocol (DVMCP)
Damn Vulnerable Model Context Protocol (DVMCP) is a deliberately vulnerable MCP server with 10 security challenges of increasing difficulty.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 97 of 226
Damn Vulnerable Model Context Protocol (DVMCP) is a deliberately vulnerable MCP server with 10 security challenges of increasing difficulty.
## What is On-Demand-Books? On-Demand-Books is an MCP server that helps AI agents find the perfect personalized puzzle book gift from a catalog of…
IMCP is a macOS app that connects your personal data—calendar, contacts, messages, location, reminders, weather, and maps—to AI assistants via the…
KiCAD MCP: AI-Assisted PCB Design is a Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with KiCAD for PCB…
MiniMax MCP is the official Model Context Protocol server from MiniMax. It enables MCP clients (such as Claude Desktop, Cursor, Windsurf, and OpenAI… 8…
DevDocs by CyberAGI is a documentation crawling tool that turns weeks of documentation research into hours.
Fill any PDF form with AI agents — ML field detection on scans, visual review loop, reusable templates, and native AcroForm fill via justfill.app.
CCTVViewer is a browser for TV set‑top boxes and Android TV devices that allows users to watch web‑based video channels, primarily Chinese CCTV and…
A hardware-accelerated video editor built on Rust, Tauri v2, and React 19. Sub-10ms frame decoding, GPU-native rendering, and a frame-accurate…
This is a step‑by‑step tutorial that teaches how to build a Model Context Protocol (MCP) server and client from scratch using Python 3.11 and…
A.I.G (AI-Infra-Guard) is an AI Red Teaming Platform developed by Tencent Zhuque Lab.
Multi-chain x402 micropayment infrastructure for AI agents. 66 pay-per-call API services — crypto analytics, trading signals, smart contract audits, NASA/ESA satellite data, prediction markets…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.