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An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Healthy Food MCP is a public MCP server that gives AI agents structured access to healthy recipe content. It lets Claude, Cursor, Gemini, and other MCP-compatible clients browse recipes by calorie category, diet group, meal type, macros, and keywords. The server includes tools for listing recipe categories, exploring diet and meal groups, browsing available recipe files, fetching full structured recipes, and searching the recipe collection. It is designed as a practical example of how MCP can be used beyond developer tools — turning curated food knowledge into something AI agents can query, understand, and use in real conversations. Healthy Food MCP is powered by Vectoralix and includes connection metadata, plugin manifests, reusable skills, documentation, assets, and validation scripts for easier installation and testing.

Five live data tools for AI agents — company hiring signals (Greenhouse/Lever/Ashby), SEC EDGAR filings, academic papers (OpenAlex), GitHub repos, and Hacker News — as flat, citation-ready JSON. Hosted on Apify; pay-per-result billing to the caller's own Apify account, empty results cost $0.

Retrieving and analyzing issues from Sentry.io

Agentic dispute resolution. File chargebacks on Visa, Mastercard, Stripe Issuing, and Lithic when AI agent purchases go wrong. Verify crypto addresses against sanctions and scam databases before sending (10 chains). Record signed purchase intent as tamper proof evidence. Real time webhook updates. 5% success fee only when you win.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Read-only database access with schema inspection

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

Connect AI assistants to ITM Platform project management. Search projects, inspect budgets, summarize portfolio health, create tasks, and log risks and issues using your ITM Platform permissions. 20 tools, OAuth or API key, hosted or local.

GitLab API, enabling project management

Official LatLng MCP server for geocoding, reverse geocoding, places search, nearby POI lookup, and place categories. Powered by the LatLng API and OpenStreetMap data.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Give your AI agents a wallet they can't abuse. Almega is an MCP server that puts a control layer in front of every payment: per-agent spending limits, allow-listed categories, 1-click human approval on sensitive transactions, and a full audit ledger. Two backends ship in one file — `memory` (zero-config, 30-second demo) and `stripe` (real Stripe Issuing test-mode virtual cards, no real money). 7 tools, stdio transport, Python 3.10+, MIT.

Engagement marketplace on Base, native to the Bankr ecosystem: AI agents and communities fund quests (follows, reposts, replies, quotes, original posts); verified-X humans complete them and are paid per approved action from a non-custodial x402 escrow — in USDC, BNKR, or any Bankr-launched token.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

A powerful MCP Server with 10 tools - weather, web search, currency converter, news, translator, QR code, image generator, IP info, Hacker News, URL fetcher. All free APIs!

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Secure file operations with configurable access controls

Chess.com player, game, and daily-puzzle tools where each tool ships its own interactive React view — board replays and a playable puzzle widget, not just text. Built with Skybridge for ChatGPT & Claude.

Location services, directions, and place details

EU legal research for AI agents: semantic + full-text search over ~48,000 EUR-Lex acts including consolidated versions, daily drift monitoring, answers with verifiable CELEX citations. German, English, French. Remote MCP server at https://conformi.eu/api/mcp — free tier, no key required for article and timeline tools.

Live Ethereum + Layer-2 gas-fee data for AI agents — current gas, cheapest L2, ETH price, best time to transact, and per-action cost estimates. Wraps the free gasfeepredictor.com API. No key required.

Generate realistic, FK-consistent test data for your databases from your AI assistant. List projects, get schema DDL, generate datasets as SQL.

One-line description: Log Indian meals with your AI using accurate data. India's official IFCT 2017 nutrition tables + USDA (8,335 foods), by text or photo. Local-first, open source. Long description: An MCP server that gives Claude (and soon ChatGPT) accurate Indian food data. Most calorie databases are US-centric and wrong for home-cooked Indian food. This wraps India's official Food Composition Tables (IFCT 2017, National Institute of Nutrition) plus USDA. Log by talking ("2 rotis and a katori of dal") or by photo; the model identifies the food, the database supplies the numbers (no LLM guessing), and your history feeds back so the AI can coach you against what you actually ate. Local SQLite, no account, no telemetry. AGPL-3.0. Tools: search_food, log_meal, get_day, get_history, edit_entry, delete_entry, fetch_image

Calculate work hours, overtime, and gross pay with tested rulesets for US federal, California, Alaska, Colorado, and Nevada law. Handles overnight shifts, rounding policies, and workweek start. Local, no API key, no data leaves your machine.