Project

Repository management, file operations, and GitHub API integration

Web content fetching and conversion for efficient LLM usage

Channel management and messaging capabilities

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

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

AI-driven animated b-roll overlay renderer for short-form video. Paste your script into your AI coding tool, the MCP server writes the scene spec and renders an mp4. Free, MIT, local.

Real-time web search and clean page extraction, in one drop-in MCP server. - 🔎 search_web_pages: Ask a question in plain language, get back the most relevant pages from Keenable's search index. Fresh results, ranked, ready to act on. - 📄 fetch_page_content: Hand it a URL, get back clean, parsed, agent-ready text. The boilerplate, ads, and markup are gone; the signal stays.

Browser automation and web scraping

Location services, directions, and place details

test

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!

A Serper MCP Server

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.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

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.

Retrieving and analyzing issues from Sentry.io

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

MCP server for Wundervault zero-knowledge secret management. Exposes vault secrets to AI agents via the Model Context Protocol — secrets are decrypted server-side and never returned to the agent in plaintext.

XGR.Network MCP is a remote MCP server that gives AI agents access to the XGR stack. It supports XDaLa workflow preparation, XGRChain evidence lookup, Explorer data access and programmable process automation through a public streamable HTTP endpoint.

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

GPT Image 2 AI Image Editor MCP is a remote MCP server that lets AI agents and MCP-compatible clients generate and edit images through GPT Image 2. It supports text-to-image, image-to-image, model listing, and generation status queries via a Streamable HTTP JSON-RPC endpoint. Users can connect with an API key and call image generation tools directly from Claude, Cursor, ChatGPT, or other agent workflows.

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

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.