MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
Developer Tools
MCP server for Bitnovo Pay integration with AI agents. Provides cryptocurrency payment capabilities through Bitnovo Pay API. Features include payment creation, status checking, QR code generation, and webhook management with support for multiple tunnel providers (ngrok, zrok, man)
MCP Guardian is a runtime security, cost governance, and health monitoring proxy for MCP infrastructure. Three-layer detection engine (regex → schema → LLM), YAML policy engine with hot-reload, 50+ secret patterns + Shannon entropy, AST command validation, JWT algorithm pinning
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications
Lightweight Node.js server sending webhook notifications. Ideal for devs using AI agents (e.g., Cursor) on multi-projects, alerting task completion for efficient switching. Features webhook alerts, multi-project dev, AI integration, easy setup for dev tools & automation.
Secure middleware server implementing Model Context Protocol (MCP) over SSE with JWT authentication. Enables standardized communication between AI tools and clients with dynamic tool registration, request logging, and session management. Perfect for building production-ready AI applications.
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.
