MCP Servers for Cursor AI

@mericozkayagan

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

mericozkayagan

关于 MCP Servers for Cursor AI

All in one place for my MCP servers

MCP Servers for Cursor AI 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-servers-mericozkayagan": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "node",
        "/path/to/postgresql-mcp/build/index.js"
      ]
    }
  }
}

MCP Servers for Cursor AI 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is MCP Servers for Cursor AI?

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.

How to use MCP Servers for Cursor AI?

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.

Key features of MCP Servers for Cursor AI

Analyze PostgreSQL configuration and performance
List, search, read, and write Obsidian notes
List, activate, deactivate, and execute n8n workflows
Generate images from text via Gemini 2.5 Flash
Manage database schemas, data migration, and monitoring
Support for multiple image sizes and customizable output

Use cases of MCP Servers for Cursor AI

Analyze a PostgreSQL database to find slow queries and schema issues
Search an Obsidian vault for project notes and append daily tasks
Activate an n8n workflow and view its execution history
Generate product‑style images from text descriptions
Copy data between PostgreSQL instances or import/export tables

常见问题

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).

How are credentials and API keys handled?

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.

开发工具分类下的更多 MCP 服务器

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Nebelus

Nebelus is an enterprise agentic-AI platform for regulated industries. This MCP server exposes the Nebelus Construction API: ~48 tools that give an MCP client full agent build parity — create/update/probe agents, edit ag

Rams

HSLA0001 Inc.

Design review for UI code, inside your agent. quick_review checks the files you just changed in about ten seconds. review_files returns a 0-100 score and patches. verify_fixes confirms the fixes landed, free. review_url

Vibgrate MCP

Vibgrate

Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

Official Porkbun MCP Server

Porkbun LLC

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac