What prerequisites are needed?
Node.js 18 or higher, Python 3.11 or higher with pip, plus the specific service for each server (PostgreSQL database, Obsidian with Local REST API plugin, n8n instance, or Google Gemini API key).
@mericozkayagan
基本情報
All in one place for my MCP servers
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-servers-mericozkayagan": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"node",
"/path/to/postgresql-mcp/build/index.js"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A collection of Model Context Protocol (MCP) server setups that integrate Cursor AI with PostgreSQL databases, Obsidian note vaults, n8n workflow automation, and Google Gemini image generation. Designed for developers using Cursor AI who need tool and database access from their AI assistant.
After satisfying prerequisites (Node.js 18+, Python 3.11+, and required services), navigate to each server directory, install dependencies, and build. Then edit ~/.cursor/mcp.json to add entries for the desired servers, specifying commands, arguments, and environment variables (e.g., PG_DB_MAP, OBSIDIAN_API_KEY, N8N_BASE_URL, GEMINI_API_KEY). Commands run locally and communicate via stdio with Cursor AI.
Node.js 18 or higher, Python 3.11 or higher with pip, plus the specific service for each server (PostgreSQL database, Obsidian with Local REST API plugin, n8n instance, or Google Gemini API key).
Connection strings and API keys are set as environment variables in the Cursor AI MCP configuration file (`~/.cursor/mcp.json`). The README warns never to commit these keys to version control.

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

Agent-Native Terminal

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.
コメント