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Documentation Index

Fetch the complete documentation index at: https://docs.corridor.dev/llms.txt

Use this file to discover all available pages before exploring further.

Corridor can integrate with any MCP-compatible tool. Corridor’s MCP server is standards-compliant, so any tool that can call an MCP endpoint can leverage Corridor’s security guardrails.

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Prerequisites

  • An AI coding tool that supports MCP servers
  • A Corridor account with a team created

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Setup

1

Generate a Corridor API token

Generate a Corridor API token in your Corridor settings.
2

Configure your MCP client

Configure your MCP client with the following:
{
  "mcpServers": {
    "corridor": {
      "transport": "http",
      "url": "https://app.corridor.dev/api/mcp?token={generated_token}"
    }
  }
}
Replace {generated_token} with your Corridor API token. The exact configuration format may vary depending on your tool—refer to your tool’s documentation for how to add an HTTP MCP server.
Once configured, your AI tool will consult Corridor’s guardrails during code generation, providing security feedback automatically.

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Next steps

Guardrails

Learn how guardrails protect your code

Corridor MCP

Explore Corridor’s MCP tools