MCP Servers
65,380 MCP servers for AI apps. Filter by category, badge and popularity.
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Model Context Protocol (MCP) server that provides comprehensive information about AWS Cloudscape Design System components, along with code generation capabilities for common Cloudscape patterns. The server is implemented in TypeScript for improved type safety and development.
A reference implementation of the Model Context Protocol (MCP) enabling seamless tool calling between LLMs and applications. Features client/server architecture with HTTP APIs, local CLI execution, and AWS Bedrock integration in a production-ready, extensible framework
This MCP server lets AI assistants access and search your private documents, codebases, and latest tech info. It processes Markdown, text, and PDFs into a searchable database, extending AI knowledge beyond training data. Built with Docker, supports free and paid embeddings.
The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost
Browser automation for web scraping when standard HTTP requests fail. Use ONLY when pages require: (1) Authentication - login forms, SSO, 401/403 errors, corporate intranets, (2) Anti-bot protection - CAPTCHA, Cloudflare challenges, rate limiting, (3) JavaScript rendering - SPAs
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
