io.github.dundas/thinkrun

Browser control + session recording MCP for AI coding agents (Claude Code, Cursor) — real Chrome.

Open source Open in the app JSON README (API)

About

Browser control + session recording MCP for AI coding agents (Claude Code, Cursor) — real Chrome.

Details

Kind: MCP servers
Topic: Web search, scraping & browser
Publisher: dundas
Origin: official
Category: ferramentas
Transport: local
Version: 0.3.8
Stars: 1
Last push: 2026-07-17T01:28:28Z
Repository state: ativo
Language: TypeScript
License: MIT
Added: 2026-08-29 03:02:43
Updated: 2026-08-29 03:02:43
Origin id: io.github.dundas/thinkrun

README

# ThinkRun — Screen Recorder for AI Coding Agents

Stop screenshotting bugs and typing paragraphs to explain them. ThinkRun records any browser session — or lets your agent record what it built — and turns it into **structured context your AI coding agent can act on**: every click, the console, network requests, your voice narration, and screenshots, all time-synced. Not just a screenshot. Not just a video.

Works with **Claude Code**, **Cursor**, **Cline**, **Windsurf**, and any MCP client.

## Install

```bash
npx @thinkrun/mcp
```

Or install the CLI globally:

```bash
npm install -g @thinkrun/cli
```

The CLI automatically installs the native host binary, which lets AI tools control Chrome.

## Add to your MCP config

```json
{
  "mcpServers": {
    "thinkrun": {
      "command": "npx",
      "args": ["@thinkrun/mcp"]
    }
  }
}
```

Config location:
- **Claude Code**: `~/.claude/settings.json`
- **Cursor**: `.cursor/mcp.json`
- **Cline**: VS Code settings → Cline MCP Servers

Then ask your agent: *"navigate to localhost:3000 and screenshot the checkout page"* — or record the bug yourself and hand the agent the result.

## Why ThinkRun

Other tools give your agent eyes. ThinkRun gives it **structured sight** — context it can parse in one pass instead of you re-explaining the page.

| | ThinkRun | Playwright MCP |
|---|---|---|
| Records a session into structured, replayable context | ✅ | ❌ drive-only |
| Turns a recording into an AI-ready report (clicks, console, network) | ✅ | ❌ |
| Shareable link, also as LLM-ready Markdown / JSON | ✅ | ❌ |
| Uses your real Chrome — your cookies & sessions | ✅ | ❌ headless only |
| Runs alongside your browser, no profile conflict | ✅ | ❌ fights for Chrome profile |

## Agent skills for Claude Code, Cursor, Codex & Gemini CLI

Four portable [agent skills](https://agentskills.io) ship in this repo, mirrored for every major harness (`.claude/skills/`, `.cursor/skills/`, `.codex/skills/`, `.gemini/skills/`):

- **web-browse** — browse the web programmatically: drive a real or cloud browser to navigate, interact, extract, and screenshot.
- **ux-audit** — walk through a product UI as a real user, screenshot every step, and produce a structured UX report with a prioritized fix list.
- **thinkbrowse-cli** — drive the browser from shell scripts via the `thinkrun` CLI.
- **thinkbrowse-mcp** — drive the browser through the ThinkRun MCP server's tools.

**Install without cloning** — the repo is served as a live MCP server that auto-updates on every commit:

```json
{ "mcpServers": { "thinkrun-skills": { "url": "https://mcp.skillsovermcp.com/mcp/dundas/thinkrun" } } }
```

**Trigger accuracy is measured, not claimed.** Every skill ships a 20-query trigger-eval fixture, and [`evals/BENCHMARK.md`](evals/BENCHMARK.md) publishes the results: 79–80/80 routing accuracy on 12 of the 16 published model configurations (GPT-5.4/5.5/5.6 and Claude Sonnet/Opus/Fable families; the outliers are a documented strict-reading mode, not crashes), plus catalog-ablation runs showing the skills absorb each other's traffic when installed as a subset. Reproduce with `bun evals/run-eval.ts build`.

## Manual binary install

If you need to install the native host without the CLI, download the binary for your platform from the [latest release](https://github.com/dundas/thinkrun/releases/latest) and run:

```bash
chmod +x thinkbrowse-host-* && ./thinkbrowse-host-* --install
```

> The native host binary keeps the `thinkbrowse-host` filename for now — it's the same signed binary, unchanged by the rename.

## FAQ

### How do I give Claude Code (or Cursor) access to my browser?
Add ThinkRun as an MCP server — `npx @thinkrun/mcp` — and your agent can drive and read a real Chrome session, your cookies and logins included. See "Add to your MCP config" above.

### How do I show Cursor a UI bug instead of pasting a screenshot?
Record the bug with ThinkRun. Instead of a flat image, your agent gets a structured artifact — the steps you took, the console errors, the failing network requests, and the DOM state at the moment it broke — so it fixes the actual problem instead of guessing from a picture.

### Is there an MCP server that uses my real Chrome cookies and sessions?
Yes. ThinkRun runs against your real Chrome via a native host, so authenticated pages just work — no headless re-login, no separate profile, no fighting your browser for the Chrome profile.

### How do I record a browser session for an AI coding agent?
Run `npx @thinkrun/mcp` (or `npm i -g @thinkrun/cli`) and record any session — or let the agent record what it built. ThinkRun turns it into an AI-ready report (clicks, console, network, narration, screenshots, all time-synced), available as a shareable link and as LLM-ready Markdown/JSON.

### How do I give my AI coding agent context about what went wrong?
Hand it a ThinkRun recording. The structured "what happened" — actions, first bad signal, expected vs actual, and the element state — is exactly the context an agent needs to land a fix on the first try.

## More

- [thinkrun.ai](https://thinkrun.ai?utm_source=github&utm_medium=readme&utm_campaign=thinkrun-repo)
- [Privacy Policy](https://thinkrun.ai/privacy)