10 skills found
openclaw / things-macManage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database)
timescale / pg-aiguideMCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
cohnen / mcp-google-adsAn MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all through simple chat with Claude, Cursor or Windsurf.
wenb1n-dev / mysql_mcp_server_proModel Context Protocol (MCP) server that supports secure interaction with MySQL databases and has anomaly analysis capabilities.更加牛逼！更加好用！不仅止于mysql的增删改查功能； 还包含了数据库异常分析能力；且便于开发者们进行个性化的工具扩展
MCPCat / mcpcat-python-sdkMCPcat is an analytics platform for MCP server owners 🐱.
ravenwits / mcp-server-arangodbThis is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB. It implements core database operations and allows seamless integration with ArangoDB through MCP tools. You can use it wih Claude app and also extension for VSCode that works with mcp like Cline!
AgriciDaniel / claude-promptsAI prompt database and builder skill for Claude Code. 2,500+ curated prompts across 19 categories and 17 AI models.
Limeload / mcp-for-databaseMCP Database Console is a revolutionary web application that bridges the gap between natural language and database queries. Built with Next.js and powered by the MCP-DB Connector, it allows users to interact with databases using plain English instead of complex SQL syntax.
tcarac / taskboardLocal project management with Kanban UI, CLI, and MCP server for AI assistants. SQLite-backed, single binary, installable via Homebrew.
hoangsonww / GitIntel-MCP-ServerA Git intelligence MCP server built with Node.js and TypeScript that analyzes local Git repositories to surface insights like hotspots, churn, temporal coupling, knowledge maps, and risk scoring. Designed for AI agents, it exposes repository analytics tools through the Model Context Protocol (MCP) while keeping all data local and read-only.
