Browse and search the AI agent directory
6630 agents found
A MCP server for the Discord integration. Enable your AI assistants to seamlessly interact with Discord. Enhance your Discord experience with powerful automation capabilities
[gitmcp.io](https://gitmcp.io/) is a generic remote MCP server to connect to ANY [GitHub](https://www.github.com) repository or project for documentation
LLM-based code review MCP server with AST-powered smart context extraction. Supports Claude, GPT, Gemini, and 20+ models via OpenRouter
An MCP server that provides real-time cryptocurrency news sourced from NewsData for AI agents
🐍🏠 - An MCP server for connecting to any OpenTelemetry backend (Datadog, Grafana, Dynatrace, Traceloop, etc.)
Real-time crypto market data for AI agents — market health scores, derivatives, funding rates, ETF flows, cycle indicators, and 100+ endpoints via CryptoDataAPI
Regulatory compliance (AI Act, GDPR, DORA) with article-level citations
Search dashboards, investigate incidents and query datasources in your Grafana instance
Sentry.io integration for error tracking and performance monitoring
Model Context Protocol Server for aggregating RSS feeds in Claude Desktop
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed
MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations
Official GitHub server for integration with repository management, PRs, issues, and more
Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants
Extract and convert YouTube video information
🎖️ 📇 ☁️ Connect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring included
Enhances any agent's reasoning capabilities by integrating the think-tools, as described in [Anthropic's article](https://www.anthropic.com/engineering/claude-think-tool)
A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events
Up-to-date code documentation for LLMs and AI code editors
Control Android devices with AI through MCP, enabling device control, debugging, system analysis, and UI automation with a comprehensive security framework
