> ## Documentation Index
> Fetch the complete documentation index at: /docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Use the official API integration examples

> Start from small Python and JavaScript examples, configure scoped credentials outside source control and choose hosted MCP or a local bridge for agents.

TruckerFetch provides public examples and agent packages that use the same account permissions as the API. Choose the repository that matches your integration and read its README before running a command.

| Repository | Use it for |
| - | - |
| [API examples](https://github.com/truckerfetch/truckerfetch-api-examples) | Small Python and JavaScript requests and reusable client helpers. |
| [MCP](https://github.com/truckerfetch/truckerfetch-mcp) | Hosted OAuth connection instructions and a local stdio bridge. |
| [Agent skills](https://github.com/truckerfetch/truckerfetch-agent-skills) | Portable research guidance and a bundled helper. |
| [Documentation](https://github.com/truckerfetch/truckerfetch-api-docs) | This Mintlify site and its checked-in OpenAPI reference. |

## Configure credentials

Run REST examples with an appropriately scoped API key stored in a protected environment variable. The quickstart uses `TRUCKERFETCH_API_KEY`. Follow each repository's documented environment contract and keep real keys out of committed `.env` files, logs and issue reports.

Use hosted MCP when your client supports the OAuth flow. Choose the local bridge when your environment expects stdio and you intend to authenticate through a REST key. Neither path changes the account's Pro entitlement, scopes or shared usage limits.

## Keep examples safe to share

Use synthetic records in issues and tests. Preserve the exact idempotency key and payload for an unfinished mutation; replace them with synthetic values before sharing a reproduction. Report only the request ID and sanitized error details when you need help.

The repositories' code and documentation license does not grant rights to the licensed dataset or TruckerFetch brand assets. Review the applicable terms for your data workflow.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.