MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
Developer Tools
Log Analyzer MCP is a powerful Python-based toolkit designed to streamline the way you interact with log files. Whether you're debugging complex applications, monitoring test runs, or simply trying to make sense of verbose log outputs, this tool provides a command-line interface
Automatically generate an MCP Server from existing source code, service classes, helper methods, and external MCP tools. The MCP Mediator aggregates various sources and tools into a unified system, enabling seamless automatic generation of a complete MCP Server
MCP server giving AI agents full SSH access with secret-safe environment variable injection. Supports persistent sessions, structured command execution, SFTP file transfer, port forwarding, and automatic output redaction that prevents secrets from reaching the LLM
mcp-reporter is a streamlined utility that generates comprehensive capability reports for Model Context Protocol servers, empowering developers to easily understand available functionality across their MCP servers ecosystem for both documentation and integration into other tools
The native MCP server for Unix PTY control gives AI models authentic, low-latency terminal access by spawning true pseudo-terminals—not brittle AppleScript hacks—so you can open persistent Bash, Python, or SSH sessions, run commands like “ssh prod.server,” and stream only fresh o
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.
