MCP Integration

Setting Up MCP Servers in Cursor: Connect External Tools

Cursor Docs April 23, 2026

0 views

Step-by-step guide to configuring Model Context Protocol (MCP) servers in Cursor IDE. Connect databases, APIs, GitHub, Jira, and custom data sources to extend AI capabilities.

The Model Context Protocol (MCP) acts as a plugin system for Cursor, standardizing how the AI connects to external data sources and tools.

Setup

Navigate to Settings > Cursor Settings > Tools & MCP
Click "Add MCP Server" or use one-click install for popular servers
Configure authentication (OAuth supported for many servers)

Connection Types

Local Stdio: Runs on your machine, communicates via stdin/stdout
Streamable HTTP: Independent process handling multiple client connections

Popular MCP Integrations

GitHub: Repository management, PR creation, issue tracking
Jira: Issue tracking and project management
Supabase: Database operations and schema management
Slack: Team communication and notifications
PostgreSQL: Direct database queries and schema exploration
Figma: Design-to-code workflows

Using MCP in Agent Mode

Once configured, MCP tools are available in Agent mode conversations. Reference them naturally: "Use the GitHub MCP to create a new issue for this bug" or "Query the database MCP to show me the users table schema."

Building Custom MCP Servers

Use the official MCP SDK to connect proprietary data sources. Common use cases: internal documentation systems, custom databases, monitoring tools, and CI/CD pipelines.

Tips

Start with official, well-maintained MCP servers
Test MCP connections in a non-production environment first
Monitor MCP server logs for debugging connection issues

Comments

More Guides

View all

tutorial

an efficient .cursor directory: less context, better agents

how to structure your .cursor directory so agents start with the smallest useful context, spend fewer tokens, and produce faster, more focused results

Philip Hern

tutorial

Audit a Cursor or v0-Built MVP Before You Launch

Three vulnerabilities AI-coding assistants introduce that aren't in their training data — and the 5-minute self-audit that catches them before launch.

Diego Diaz

Automation

Cursor Hooks: Automate Code Quality with Custom Scripts

Learn to create Cursor hooks that run custom scripts in response to AI agent actions. Build formatting, linting, testing, and validation automation.

GitButler

Tutorials

Cursor AI with Codecademy: Practical Examples and Exercises

Hands-on guide to using Cursor AI with practical coding examples. Covers project setup, AI-assisted coding workflows, and real-world application building.

Codecademy

Advanced Features

Cursor Advanced Tips: 10 Methods to Double Development Efficiency

Advanced Cursor techniques including context window optimization, multi-model strategies, codebase indexing, and workflow automation for experienced users.

BetterLink Blog