Bitcompare Crypto Yield

Hong Kong Insurance Sales MCP Server — GL-44/GL34 compliance engine, 11 tools for insurance advisory automation. Free, open-source (Apache-2.0). EU AI Act Art.50 compliant.

Read-only database access with schema inspection

A Serper MCP Server

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

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

Channel management and messaging capabilities

Repository management, file operations, and GitHub API integration

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

ZCP is a CLI with Zerops MCP that makes your agent a Zerops power-user. It runs either inside your project, or is connected through zCLI's VPN functionality to the project from your terminal. Your agent. Your subscription. Your code. Your infrastructure. Your IDE.

Browser automation and web scraping

高德地图官方 MCP Server

AI image generation using various models

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

Local, encrypted secret broker for AI agents — tools request an API key by name over MCP, you approve in a native OS dialog, and only that key is injected into your project; the model never sees the value.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

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

MCP server to provide Figma layout information to AI coding agents like Cursor

MCP Advisor & Installation - Use the right MCP server for your needs

Open-source, deterministic SEC filing analytics for 10-K, 10-Q, and 8-K HTML. Reproducible JSON scores from text metrics, boolean risk flags, and section diffs.

Pre-connect trust checks for AI agents, frameworks, packages, and MCP servers using HVTracker's public trust registry. Remote MCP endpoint: https://hvtracker.net/mcp Official registry: https://registry.modelcontextprotocol.io/v0.1/servers/io.github.YugantM%2Fhvtracker-mcp/versions/latest

One social-video URL in → metadata, transcript (captions or Whisper), engagement insights, and parametric frames out. 6 platforms (YouTube, Shorts, TikTok, Instagram, Pinterest, Reddit). REST + MCP. Pay per call with x402 (USDC), no account.

Web and local search using Brave's Search API

GitLab API, enabling project management

MotiveGrid Vehicle Advisor is a Model Context Protocol (MCP) server that provides structured, data-grounded vehicle intelligence for AI assistants. It enables ChatGPT, Claude, and other MCP-compatible tools to compare cars, evaluate long-term ownership cost, analyze safety and driver-assistance ratings, and generate personalized vehicle recommendations based on real constraints like budget, family size, and usage patterns. Unlike generic web search, MotiveGrid returns structured, decision-ready outputs built on real automotive datasets (including depreciation, fuel economy, and safety ratings), helping AI assistants give consistent, non-hallucinated car buying advice. What you can do with it: Compare vehicles side-by-side (e.g., Toyota RAV4 vs Honda CR-V) Get 5-year total cost of ownership breakdowns Retrieve structured vehicle scorecards (safety, reliability, comfort, efficiency) Generate ranked recommendations based on user needs and budget Explore electric vs hybrid vs gas tradeoffs with grounded data Designed for: AI assistants (Claude, ChatGPT, Cursor, etc.) Developers building automotive tools Users making real-world car buying decisions Key principle: All outputs are grounded in structured automotive data and designed to reduce hallucinations in AI-generated vehicle advice.

npm: routara-mcp@1.0.1 MCP Registry: io.github.36412749-collab/routara-mcp API: https://api.routara.ai/v1 Tools: list_models, chat, generate_image, generate_video, get_video_status