CodeRabbit - Context7

CodeRabbit is an AI-powered code review tool that automatically reviews pull requests. By connecting Context7 as an MCP server, CodeRabbit can access up-to-date library documentation during reviews, helping it verify implementations against the latest API references and best practices.

Setup

<Steps> <Step title="Navigate to MCP Servers"> Go to your [CodeRabbit dashboard](https://app.coderabbit.ai) and navigate to **Integrations** → **MCP Servers**.

![Integrations tab](/images/integrations/coderabbit/integrations-tab.png)

</Step> <Step title="Add Context7"> Click the **Add** button next to **Context7** MCP server.

Add the following header for higher rate limits:

| Header | Value |
|--------|-------|
| `CONTEXT7_API_KEY` | Your API key from the [Context7 dashboard](https://context7.com/dashboard) |

```json
{
  "CONTEXT7_API_KEY": "YOUR_API_KEY"
}
```

![Add server modal](/images/integrations/coderabbit/add-server-modal.png)

</Step> <Step title="Connect"> Click the **Connect** button to connect the server.

![Server connected](/images/integrations/coderabbit/server-connected.png)

</Step> <Step title="Enable for Public Repos"> To use Context7 with public repositories, go to **Organization Settings** → **Configuration** → **Knowledge Base**. In the MCP section, select **Enabled** instead of **Auto** and click **Apply Changes**.

![Update MCP settings](/images/integrations/coderabbit/update-mcp-settings.png)

</Step> </Steps>

Usage Guidance

In the Usage Guidance field, you can instruct CodeRabbit on how to use Context7 during reviews. For example:

Use Context7 to look up documentation for any libraries used in the code being reviewed.
Verify that API usage matches the latest documentation and flag any deprecated patterns.

How It Works

Once connected, CodeRabbit will query Context7 for relevant library documentation when reviewing pull requests. This helps CodeRabbit:

Verify correct API usage against the latest documentation
Identify deprecated methods or patterns
Suggest improvements based on library best practices
Provide more accurate and informed review comments