According to AlphaMoat, as of 2026-09, Bits Browser Automation has 3,377 downloads and 0 stars — ranked #3,331 of 5,078 AI skills overall, and #681 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 106 | 3.4K | - | - |
| SkillHub ↗ | 105 | 3.3K | - | — |
Platforms count differently and update at different times.
The primary describes page navigation, reading, structured extraction, form interaction, OAuth flows, and multi-window operation, with TypeScript SDK execution in a sandbox. Setup requires an API key and shows npx installation; the browser may already be signed in, and task data may be sent to Bits, the target site, or the executed package. Review and pin the package version, use a dedicated revocable key, avoid sensitive or regulated data unless all services are approved for it, and confirm the target and exact content before any write action.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.4K | — | - |
| 2026-08 | 3.2K | +5.2% | - |
| 2026-07 | 3.1K | +10.9% | - |
| 2026-06 | 2.8K | — | - |
| 2026-03 | 2.0K | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: bits-mcp description: Control browser automation agents via the Bits MCP server. Use when running web scraping, form filling, data extraction, or any browser-based automation task. Bits agents can navigate websites, click elements, fill forms, handle OAuth flows, and extract structured data. --- # Bits MCP - Browser Automation Bits is an AI browser automation platform. The MCP server lets you run browser automation tasks from your AI assistant. ## Setup
### 1. Get an API Key
1. Go to [app.usebits.com](https://app.usebits.com)
2. Sign in with Google
3. Navigate to **Settings → API Keys**
4. Click **Create API Key**, give it a name
5. Copy the key (starts with `bb_`) — you won't see it again
### 2. Configure MCP
Add to your MCP config (e.g., `~/.openclaw/openclaw.json`):
```json
{
"mcpServers": {
"bits": {
"command": "npx",
"args": ["-y", "usebits-mcp"],
"env": {
"BITS_API_KEY": "bb_your_key_here"
}
}
}
}
```
For Claude Code (`~/.claude.json`):
```json
{
"mcpServers": {
"bits": {
"command": "npx",
"args": ["-y", "usebits-mcp"],
"env": {
"BITS_API_KEY": "bb_your_key_here"
}
}
}
}
```
### 3. Restart
Restart your gateway/client to pick up the new MCP server.
## Usage
The Bits MCP uses "Code Mode" — you write TypeScript SDK code that executes in a sandbox. Two tools are available:
1. **Documentation search** — Query the SDK docs
2. **Code execution** — Write and run TypeScript against the Bits SDK
### Example: Scrape a Website
```
Use the Bits MCP to go to news.ycombinator.com and get the top 5 story titles
```
The agent will:
1. Search docs for navigation/scraping methods
2. Write TypeScript code to navigate and extract data
3. Execute it and return results
### Example: Fill a Form
```
Use Bits to go to example.com/contact, fill out the contact form with name "Test" and email "[email protected]", then submit
```
### Example: Extract Structured Data
```
Use Bits to scrape the product listings from example-store.com/products and return them as JSON with name, price, and URL fields
```
## Capabilities
- **Navigate** — Go to URLs, handle redirects
- **Read pages** — Extract text, get page layouts, take screenshots
- **Interact** — Click elements, fill inputs, press keys
- **Handle auth** — OAuth popups, login forms, 2FA (with stored credentials)
- **Multi-window** — Switch between tabs/popups
- **Structured output** — Return data in specific JSON schemas
## Creating Workflows (Optional)
For repeated tasks, create a workflow in the Bits web app:
1. Go to [app.usebits.com](https://app.usebits.com) → **Workflows**
2. Create a workflow with a definition (instructions for the agent)
3. Optionally add an output schema for structured responses
4. Run via API: `POST /workflows/{id}/runs`
## Troubleshooting
**"API key invalid"** — Check your key starts with `bb_` and is copied correctly.
**Slow startup** — First run downloads the MCP package via npx. Subsequent runs are faster.
**Task stuck** — Browser automation can hit CAPTCHAs or unexpected modals. Check the live view URL in the response.
## Links
- Web app: [app.usebits.com](https://app.usebits.com)
- API docs: [api.usebits.com/openapi.json](https://api.usebits.com/openapi.json)
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.