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MCP Warp: Transform Your AI Assistant with GitHub, Figma & Sentry Integrations

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.
Analogy Without MCP With MCP
Charging a phone Carry five chargers One USB-C cable
AI working with tools Custom API scripts each time Single JSON file

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

Item Why You Need It Must-Have?
A Warp account Free signup on warp.dev
Tokens from each service GitHub PAT, Figma token, etc.
Basic copy-and-paste skills You will paste JSON snippets

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 MCPAdd → paste the official JSON snippet (link in the original video description).
    3. Replace "github_token" with your PAT → Save.

Real-World Use Cases

Task Natural Language Prompt MCP Calls
Summarize open PRs “List all open pull requests and summarize the discussion.” list_pull_requests, get_pull_request_comments
Turn TODOs into issues “Scan the code for TODO comments and create GitHub issues.” create_issue for each TODO

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 panelAdd → paste the Puppeteer JSON config → Save.
  2. No token needed; Warp ships with Puppeteer pre-installed.

Real-World Use Case

Scenario Voice Prompt
Product research on Amazon “Go to Amazon, search for women’s white T-shirts, capture titles, prices, and links, open each product page, summarize reviews, and recommend the best one.”

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.
MCP Action Human Equivalent
navigate Typing a URL
fill Entering text in a search box
screenshot Taking a screenshot
evaluate Running JavaScript in DevTools

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

Task Prompt
Landing page from mockup “Take this Figma link and create HTML/CSS files that match the layout.”

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

Task Prompt
Diagnose a React error “Explain this Sentry issue and provide a patch.”

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

Task Prompt
Migrate an old Astro site “Update this Astro project to the latest best practices.”

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

Symptom Likely Cause Quick Fix
MCP panel empty Malformed JSON Validate with JSONLint
GitHub 401 error Token lacks repo scope Regenerate token
Puppeteer hangs Chrome version mismatch Switch Puppeteer channel in Warp settings
Figma images 403 Token missing file:read Create new token
Context7 returns nothing Incorrect library name Use exact npm package name

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.

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