MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
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This project provides a Model Context Protocol (MCP) server that enables interaction with a Kafka cluster via standard tool-based interfaces. It exposes Kafka operations like producing messages, consuming, listing topics, and more — all accessible through Claude Desktop or an
A local Model Context Protocol (MCP) server that gives any MCP-compatible host (Claude Desktop, Claude Code, Cursor, Cline, Continue) full computer-use control of the machine. One perceive_screen call screenshots the display, runs a bundled OmniParser-v2 YOLO icon-detector plus o
This MCP server extracts key-value pairs from arbitrary, noisy, or unstructured text using LLMs (GPT-4.1-mini) and pydantic-ai. It keeps type safety and supports multiple output formats (JSON, YAML, TOML). The server is robust to any input and always attempts to structure data as much as possible
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.
