Mcp Generator
What is MCP (Model Context Protocol)?
The Model Context Protocol (MCP) is an open standard that defines how AI applications communicate with external tools and services. Think of it as a "USB-C port for AI" — instead of every AI app building custom integrations for every tool, MCP provides a single, standardized protocol.
How It Works
- You configure an MCP server — a small program that connects to a specific service (GitHub, a database, Slack, etc.)
- Your AI app starts the server — when you launch Claude Desktop, Cursor, or another MCP-compatible app
- The server exposes capabilities — the AI can now read data, perform actions, or query information through that server
- The server runs locally — your data stays on your machine, and credentials are never sent to third parties
Common MCP Use Cases
| What You Want To Do | Recommended Server | Risk Level |
|---|---|---|
| Browse GitHub repos, issues, and PRs | GitHub MCP Server | Medium |
| Query and analyze databases | PostgreSQL or SQLite Server | High |
| Read and edit project files | Filesystem Server | High |
| Browse websites and take screenshots | Browser Automation Server | Medium |
| Give your AI persistent memory | Memory Knowledge Graph | Low |
| Search and send Slack messages | Slack Server | Medium |
| Read and create Notion pages | Notion Server | Medium |
| Analyze Sentry errors and issues | Sentry Server | Low |
Why Use This Config Generator?
No MCP Knowledge Required
The guided wizard asks simple questions — what do you want to connect, what AI app do you use, what operating system — and generates the correct configuration. You never need to learn MCP JSON syntax.
Built-in Security Understanding
Every server template includes a clear security summary showing:
- Risk level (Low / Medium / High)
- What data can be read
- What data can be modified
- What cannot be accessed
Multi-Client Support
Generated configs work with all major MCP-compatible clients:
| Client | Config File Location |
|---|---|
| Claude Desktop | claude_desktop_config.json |
| OpenCode | opencode.json |
| Cursor | .cursor/mcp.json |
| VS Code | settings.json (with MCP extension) |
Health Checks & Validation
After generating a config, the tool automatically checks for:
- Missing required environment variables
- Missing dependencies (Node.js, Python, uv)
- OS-specific considerations (Windows vs macOS vs Linux paths)
- Configuration format correctness
Installation Quick Reference
Claude Desktop
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Linux:
~/.config/Claude/claude_desktop_config.json
Windows:
%APPDATA%\Claude\claude_desktop_config.json
Cursor
.cursor/mcp.json in your project root directory
VS Code
Open settings.json via Ctrl+Shift+P > "Preferences: Open Settings (JSON)" and add the config under the mcp.servers key
Security Best Practices
- Use dedicated tokens: Create API tokens with minimal required scopes instead of using personal access tokens
- Read-only when possible: For databases, create a read-only user if you only need query access
- Restrict filesystem access: Only grant access to directories the AI actually needs to read
- Review permissions: Check the Permissions Summary before adding any MCP server
- Revoke unused access: Remove MCP server configs you no longer use
- Keep tokens secret: MCP configs contain tokens — don't commit them to version control
Resources
- MCP Specification — Official documentation and specification
- MCP GitHub — Open source SDKs and examples
- Claude Desktop MCP Setup — Quickstart guide