A Serper MCP Server

Turn User Feedback Into Production Code automatically Don't just collect requests—ship them. Loops integrates with AI Agents like Claude, Codex, and Cursor to write the code for top-voted features and notifies users the moment it’s live.

A Model Context Protocol (MCP) server that exposes GeoServer REST API functionality for natural language interaction. Built on the python-geoservercloud library, this MCP server provides 80+ tools for managing: - Workspaces - create, list, delete workspaces - Datastores - connect to PostGIS, GeoPackage, Shapefile sources - Feature Types & Layers - publish and configure vector/raster layers - Styles - create and apply SLD/CSS/MBStyle styles - Layer Groups - organize layers into groups - Security - manage access rules and permissions Works with any GeoServer instance (local or remote). Simply configure your GeoServer URL and credentials via environment variables.

Retrieving and analyzing issues from Sentry.io

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

MCP server for GStreamer introspection and pipeline development. Helps LLMs understand GStreamer elements, caps, and pipeline construction.

Search the Modellix knowledge base to quickly find relevant technical information, code examples, and API references. Retrieve implementation details and official guides to solve development queries efficiently. Access direct links to documentation for deeper context on specific features and tools.

Web content fetching and conversion for efficient LLM usage

rival-mcp MCP server for querying AI model comparison data from rival.tips This server lets AI coding assistants — Claude Code, Cursor, Windsurf, and any MCP-compatible client — natively query model benchmarks, pricing, capabilities, and side-by-side comparisons without leaving your editor. Quick Start npx rival-mcp No API key required. All data is served from the public rival.tips API. Configuration Claude Code Add to your .claude/settings.json (project-level) or ~/.claude/settings.json (global): { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Claude Desktop Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows): { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Cursor Add to your Cursor MCP settings (.cursor/mcp.json): { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Windsurf Add to your Windsurf MCP config: { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Available Tools list-models List all AI models with optional filtering. Parameters: Parameter Type Description provider string (optional) Filter by provider: OpenAI, Anthropic, Google, Meta, Mistral, etc. category string (optional) Filter by category: flagship, reasoning, coding, small, free, image-gen capability string (optional) Filter by capability: chat, code, vision, image-gen, function-calling q string (optional) Free-text search across name, ID, provider, and description Example prompts: "List all Anthropic models" "Show me free models" "What models support vision?" get-model Get detailed information about a specific model — benchmarks, pricing, capabilities, unique features, and provider availability. Parameters: Parameter Type Description id string (required) Model ID, e.g. gpt-4.1, claude-3.7-sonnet, gemini-2.5-pro Example prompts: "Get details on claude-3.7-sonnet" "What are the benchmarks for gpt-4.1?" compare-models Compare 2-3 models side by side — benchmarks, pricing, capabilities, and shared challenges. Parameters: Parameter Type Description models string (required) Comma-separated model IDs (2-3). Example: gpt-4.1,claude-3.7-sonnet Example prompts: "Compare GPT-4.1 vs Claude 3.7 Sonnet" "How does Gemini 2.5 Pro stack up against GPT-4.1 and Claude Sonnet?" search-models Search for models by name, description, or capability when you don't know the exact model ID. Parameters: Parameter Type Description query string (required) Search query, e.g. vision, cheap coding, fast reasoning Example prompts: "Find models good at coding" "Search for cheap reasoning models" Development # Install dependencies npm install # Run in development mode npm run dev # Build for production npm run build # Run the built server npm start How It Works This MCP server communicates over stdio (standard input/output) using the Model Context Protocol. When an AI assistant needs model comparison data, it calls the appropriate tool, which fetches data from the rival.tips public API and returns structured JSON. The server exposes no resources or prompts — only tools. All data is read-only and publicly available. Data Source All model data comes from rival.tips, an AI model comparison platform featuring: 60+ AI models with benchmarks, pricing, and capability data Side-by-side comparisons with shared challenge responses Community-driven AI duel voting and rankings Pre-generated showcase responses across coding, creative, and reasoning tasks License MIT

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

I built this to give my AI assistants the latest information on model performance benchmarks provided by https://artificialanalysis.ai to make informed decisions on model choice.

An enterprise-grade Oracle Database connector for MCP. Features built-in self-healing connection retries, TypeScript-based architecture, and AI-guided SQL error handling for autonomous agent workflows.

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.

The pgEdge Postgres Model Context Protocol (MCP) server enables SQL queries against PostgreSQL databases through MCP-compatible clients like Claude Desktop. The Natural Language Agent provides supporting functionality that allows you to use natural language to form SQL queries. Key Features: 🔒 Read-Only Protection - All queries run in read-only transactions 📊 Resources - Access PostgreSQL statistics and more 🛠️ Tools - Query execution, schema analysis, advanced hybrid search (BM25+MMR), embedding generation, resource reading, and more 🧠 Prompts - Guided workflows for semantic search setup, database exploration, query diagnostics, and more 💬 Production Chat Client - Full-featured Go client with Anthropic prompt caching (90% cost reduction) 🌐 HTTP/HTTPS Mode - Direct API access with token authentication 🖥️ Web Interface - Modern React-based UI with AI-powered chat for natural language database interaction 🐳 Docker Support - Complete containerized deployment with Docker Compose 🔐 Secure - TLS support, token auth, read-only enforcement 🔄 Hot Reload - Automatic reload of authentication files without server restart

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Discover, evaluate, and execute AI agents programmatically. Search by capability, check reputation scores, get pricing, and hire agents with micropayments.

Security scanner for developers and startups. Vigil performs deep security audits of your system and generates cryptographically signed, tamper-evident reports. It integrates seamlessly with AI assistants like Claude Desktop and Cursor through the Model Context Protocol.

Playwright MCP server

Security scanner MCP server that protects AI coding agents from generating vulnerable code. Uses tree-sitter AST analysis to detect OWASP Top 10 vulnerabilities, hardcoded secrets, and prompt injection attacks. Includes package hallucination detection across 4.3M packages (npm, PyPI, RubyGems, crates.io, pub.dev, CPAN, Raku). Works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-compatible client. Full feature list (for detailed descriptions): • 275+ security rules covering Python, JavaScript, TypeScript, Java, Go, Ruby, PHP, C/C++, Rust, C#, Terraform, Kubernetes • AST-based detection with tree-sitter (falls back to regex when unavailable) • Taint analysis for tracking user input to dangerous sinks • Package hallucination detection: verifies 4.3M+ packages across 7 ecosystems • Prompt injection detection: blocks exfiltration, jailbreaks, and malicious instructions • Automatic fix suggestions for common vulnerabilities • Zero config: works instantly with npx • CWE/OWASP metadata for compliance reporting

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。

An MCP server that gives AI assistants full access to OmniFocus via Omni Automation. 41 tools for tasks, projects, folders, tags, subtask hierarchies, notifications, attachments, analytics, and data export.

Control Elegoo 3D printers (Centauri Carbon) via SDCP. Monitor status, pause/resume prints, manage files, control lights. 100% local.

Location services, directions, and place details

This connector provides an MCP (Model Context Protocol) server designed to seamlessly integrate AI assistants with the Tidio live chat platform. It automates the entire setup process, including secure OAuth authentication to retrieve your Tidio public key and generate ready-to-use embed code. By handling credential persistence and simplifying deployment, it enables developers to quickly deploy AI-powered customer service agents, enhancing support capabilities for websites using Tidio. It's compatible with various AI-powered development platforms like Claude Desktop and Lovable.