Developer Tools MCP 서버

Docker

Manage Docker containers using natural language commands.

Fetch

Fetches and transforms web content into various formats.

ClickHouse

Provides an MCP server to interact with ClickHouse databases.

Android Control

Programmatically controls Android devices via ADB, exposing management capabilities to MCP clients.

FreeCAD

Control FreeCAD parametrically using an MCP server.

Marketplace

Facilitates the discovery and installation of MCP servers built for use with Cline.

Just Prompt

Provides a unified interface to multiple Large Language Model (LLM) providers, simplifying interaction with services like OpenAI, Anthropic, and Google Gemini.

Coco AI

Unifies enterprise search and collaboration by connecting applications and data into a single interface.

Mcp-Proxy

Aggregates and serves multiple Model Context Protocol (MCP) resource servers through a single HTTP server.

Smithery CLI

Installs and manages Model Context Protocol (MCP) servers, remaining client-agnostic.

Mem0

Provides long-term memory capabilities to AI agents through a Model Context Protocol (MCP) server.

Protolint

Enforces Protocol Buffer style and conventions through linting and automated fixes.

MacOS Automator

Executes AppleScript and JavaScript for Automation (JXA) scripts on macOS via a Model Context Protocol (MCP) server.

Context Portal

Builds a project-specific knowledge graph to supercharge AI assistants with context-aware Retrieval Augmented Generation (RAG) capabilities.

Local.ai

Enables local, private, and secured AI experimentation directly on your personal computer.

ReVa

Facilitates advanced reverse engineering tasks by acting as a model-agnostic AI assistant within environments like Ghidra, leveraging a tool-driven approach.

Next.js DevTools

Empower AI coding assistants with a robust suite of Next.js development tools and utilities.

Gcloud

Enables AI assistants to interact with the Google Cloud environment using the gcloud CLI.

Universal DB

Connects AI assistants to various databases, enabling natural language querying and analysis through the Model Context Protocol (MCP) and HTTP API.

Tapo

Control TP-Link Tapo smart devices through an unofficial API client available for Rust and Python, and as an AI-callable MCP server.