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Enables remote container security monitoring and management through Docker API and SSH connections. Provides real-time container monitoring, security analysis, event tracking, and comprehensive security scanning for containerized environments.

A starter template for building Model Context Protocol servers that can integrate with AI assistants like Claude or Cursor, providing custom tools, resource providers, and prompt templates.

Always-warm iOS Simulator frames for coding agents — read the screen in ~20ms instead of waiting on a screenshot. MCP server + CLI.

Enables searching and retrieving economic data from the Federal Reserve Economic Data (FRED) API, including time series, categories, releases, and popular indicators.

Provides 15 geospatial utility tools for AI agents, covering coordinate transformation, spatial data validation, elevation/terrain, viewshed analysis, and drone flight planning.

Manages DDNet game processes and key bindings, enabling start/stop/status checks and configuration edits.

Enables MCP-compatible AI agents to securely control Chrome tabs via a local bridge, with explicit per-tab sharing and human approval for consequential actions.

Enables querying Rapid7 InsightIDR logs using natural language through AI assistants, with support for time filtering, logset selection, and LEQL queries.

股票行情 MCP + Skills 完整解决方案，支持 OpenClaw、Cursor、Claude Desktop、Antigravity、Gemini/Codex CLI 等主流 AI 工具。

Connects with Google Calendar API to fetch calendar events for specific dates through natural language commands in AI-driven editors like Cursor, enabling real-time calendar data access within your coding environment.

An unofficial MCP server for AI/Claude Integration in GLPI

CloudOps MCP is a read-only Model Context Protocol server that exposes normalized operational infrastructure context (logs, metrics, deployments, health) to AI agents through a small set of typed, bounded tools.

MCP Fetch is a server that enables Claude Desktop and other MCP clients to retrieve and process web content. Built by kazuph, it fetches URLs, extracts content as markdown, and handles images intelligently - automatically processing them for optimal viewing (merging vertically with size limits) and preparing them for clipboard operations. The implementation uses Node.js with libraries like Sharp for image processing, JSDOM and Readability for content extraction, and includes features like robots.txt compliance and animated GIF handling. Particularly useful for research workflows where users need to bring external web content into their AI conversations without manual copying and formatting.

Provides AI agents with persistent memory across sessions, enabling recall of decisions, clients, and deadlines with verifiable citations.

Enables file system operations like listing, reading, writing, deleting, and renaming files within a specified folder via a FastAPI-based MCP server.

Databricks MCP Server provides a bridge between LLMs and Databricks environments, enabling natural language interaction with SQL warehouses and job management systems. The implementation offers tools to run SQL queries, list jobs, check job statuses, and retrieve detailed job information through a FastAPI-based MCP server that connects to the Databricks SQL connector and REST API. It handles authentication via personal access tokens stored in environment variables and formats query results as markdown tables, making it particularly valuable for data analysts and engineers who need to interact with their Databricks workspaces through conversational AI interfaces.

MCP server for Home Assistant — 323 tools across 29 domains: entities, automations, dashboards (sections-aware), Card Builder, energy, ESPHome/LVGL, HACS, Supervisor, git config versioning, BM25 tool search, aggregated snapshot

讓AI助理直接查詢台灣公開資料，包括公司登記、詐騙查核與實價登錄，資料即時且附來源連結。

MCP server for a self-hosted La Suite Docs instance: search, browse, read, create, and edit documents from Claude Code and other MCP clients.

MCP server that provides audit and safety-check tools for enterprise SDLC code integrity, enabling AI agents to scan workspaces for lifecycle gaps, mock-theater tests, DRY violations, and language-specific issues in shell, JavaScript/HTML, and Python.