Connect GitHub, Figma, Sentry, and More to Your AI Assistant: A Practical Guide to MCP on Warp

If you have ever wished your AI could open pull requests, scrape web data, or turn a design file into code—without you writing glue scripts—this guide is for you. We will walk through five ready-to-use MCP servers on the Warp terminal, step by step, in plain English.

Table of Contents

1. What Is MCP in Everyday Terms?
2. Why Warp Makes Life Easier
3. Before You Start: A Short Checklist
4. Five MCP Servers You Can Install Today

   • GitHub MCP: Let AI Manage Your Repository
   • Puppeteer MCP: Automate Any Website
   • Figma MCP: Designs to HTML in One Click
   • Sentry MCP: Fix Errors Before Your Users Notice
   • Context7 MCP: Always Up-to-Date Documentation
5. Troubleshooting Quick Reference
6. FAQ: Real Questions from Real Developers
7. What to Try Next

1. What Is MCP in Everyday Terms?

Think of MCP (Model-Context Protocol) as a universal charging cable for AI.

• Old way: build a custom connector for every tool.
• MCP way: plug one standardized cable into any service—GitHub, Figma, or your browser.

2. Why Warp Makes Life Easier

Warp is a modern terminal with two features that matter here:

1. Command Palette (⌘ + K or Ctrl + K)
   Add an MCP server the same way you install a browser extension.

2. Built-in AI assistant
   Talk or type in plain English; Warp turns your words into API calls through MCP.

3. Before You Start: A Short Checklist

Security tip: create tokens with minimum required scopes and store them in a password manager.

4. Five MCP Servers You Can Install Today

4.1 GitHub MCP: Let AI Manage Your Repository

Purpose
Read and write issues, pull requests, and file contents without leaving the terminal.

Step-by-Step Setup

1. Create a GitHub Personal Access Token (PAT)

   1. GitHub → Settings → Developer settings → Personal access tokens → Tokens (classic) → Generate new token.
   2. Select scopes:

      • repo (full control of private repositories)
      • read:user (read user profile data)
   3. Copy the token.

2. Add the MCP server in Warp

   1. Open the Command Palette (⌘ + K).
   2. Type MCP → Add → paste the official JSON snippet (link in the original video description).
   3. Replace "github_token" with your PAT → Save.

Real-World Use Cases

Outcome: saves 20–30 minutes of manual issue creation and keeps PR reviews focused.

4.2 Puppeteer MCP: Automate Any Website

Purpose
Open a browser, fill forms, take screenshots, or scrape data—no code required.

Step-by-Step Setup

1. In Warp MCP panel → Add → paste the Puppeteer JSON config → Save.
2. No token needed; Warp ships with Puppeteer pre-installed.

Real-World Use Case

What Happens Behind the Scenes

1. navigate to Amazon.
2. fill the search box.
3. evaluate JavaScript to extract data.
4. Loop through product pages and summarize reviews.
5. Return a table with price, rating, and recommendation.

4.3 Figma MCP: Designs to HTML in One Click

Purpose
Convert Figma frames into HTML/CSS, preserving spacing, fonts, and colors.

Step-by-Step Setup

1. Get your Figma token
   Figma → Account Settings → Personal access tokens → Generate token → Scope file:read.

2. Add the MCP server
   Warp MCP panel → Add → paste Figma JSON → insert token → Save.

Real-World Use Case

What You Receive

• index.html with semantic tags
• style.css with variables for colors and fonts
• /images/ folder with exported assets

Tip: after generation, run the files locally and tweak the last 10 % (gradients, shadows) by hand.

4.4 Sentry MCP: Fix Errors Before Your Users Notice

Purpose
Pull error details directly from Sentry so the AI can find and fix the bug.

Step-by-Step Setup

• Warp MCP panel → Add → paste Sentry JSON → Save.
• No extra token needed if you are logged into Sentry.

Real-World Use Case

Typical Workflow

1. Copy the Sentry issue URL.
2. AI calls get_issue_details → reads stack trace.
3. AI scans your repo → proposes a diff.

Example Fix

- items.toUpperCase()
+ items.map(i => i.toUpperCase())

Apply the patch, push, and the error count drops to zero.

4.5 Context7 MCP: Always Up-to-Date Documentation

Purpose
Fetch the latest docs so the AI can upgrade or migrate your project correctly.

Step-by-Step Setup

• Warp MCP panel → Add → paste Context7 JSON → Save.
• No token required.

Real-World Use Case

What the AI Does

1. Calls get_library_docs for Astro 5.
2. Updates tailwindcss import syntax.
3. Enables TypeScript strict mode.
4. Adds accessibility lint rules.

Run pnpm i && pnpm dev and the project compiles without warnings.

5. Troubleshooting Quick Reference

6. FAQ: Real Questions from Real Developers

Q1: How is MCP different from Zapier or IFTTT?
A: Zapier connects apps for business workflows; MCP connects AI to developer tools. MCP is code-first and lives inside your terminal.

Q2: My token leaked—now what?
A: Revoke it in the original service → create a new one → update the JSON in Warp.

Q3: Can I use MCP behind a corporate proxy?
A: Yes. Set the HTTPS_PROXY environment variable in Warp settings.

Q4: How do I make the AI auto-push after changes?
A: End your prompt with “commit and push to main.” The GitHub MCP server supports create_or_update_file, and Warp can run git push.

7. What to Try Next

1. Save your favorite prompts as Snippets in Warp for one-click reuse.
2. Schedule nightly MCP tasks with GitHub Actions to create daily summary issues.
3. Export Puppeteer results to CSV, then commit to your repo for long-term analytics.

You now have the complete toolkit to let AI handle the repetitive parts of development. Pick one small task—say, turning five TODO comments into GitHub issues—and run it end-to-end. Once that works, expand to the next workflow. Gradually, the dull tasks disappear, and you stay focused on the creative work that still needs a human touch.