MCP Servers for Cursor AI

@mericozkayagan

About MCP Servers for Cursor AI

All in one place for my MCP servers

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

FAQ from MCP Servers for Cursor AI

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.

Do the servers

Frequently asked questions

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.

Comments

Basic information

More Developer Tools MCP servers

Reelier

Maxime Houle

Agents make claims. Reelier writes receipts — record an agent's tool-call workflow once, replay it deterministically at 0 tokens, and diff runs to catch drift.

discoverGPT

Joe Monastiero

discoverGPT is visualAI's unified MCP gateway for AI commerce, exposing 29 tools across four capabilities on one canonical product catalog: trimodal search (natural-language, precise-color, and image-similarity), AI cata

extentos

Asger mølgaard

Extentos is a multi-vendor development platform for adding smart-glasses capabilities to existing iOS and Android apps. The simplest analogy is Stripe for smart glasses:

BetterBugs

The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C

Windframe

Windframe MCP gives your AI the design taste needed to create consistent, production-ready UI that feels intentionally designed. Available at https://windframe.dev/mcp