MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
Developer Tools
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated capabilities.
The most comprehensive ServiceNow MCP server — 400+ tools across 35+ modules including ITSM, ITOM, CMDB, HRSD, CSM, SecOps, GRC, Flow Designer, Service Catalog, UI Builder, and Performance Analytics. Features 26 AI capabilities (scan, review, build, ops, docs), SDK mode, Direct.
The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (tools), and interaction templates (prompts) to LLM applications in a secure and m
An MIT-licensed MCP server that gives AI agents (Claude, Cursor, Copilot) interactive .NET debugging via netcoredbg and the Debug Adapter Protocol. 26 tools: launch/attach, breakpoints (line, function, exception, data), stepping, thread inspection, stack traces, expression evaluation.
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.
