> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/fabricate/data-agent-tools/project-api.md).

# Working with the project API

Within a project, you can create a set of mock API endpoints to explore and update the data.

To test an AI agent against your mock API, you can create MCP servers that call those endpoints. For simulation results, Fabricate provides built-in MCP servers for the simulation content platforms.

You can also use sandboxes, which allow you to create and interact with temporary versions of the project data. Changes to sandbox data do not affect the actual project data.

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Create and manage API endpoints</strong><br><br>Create mock API endpoints to interact with project data.</td><td><a href="/fabricate/data-agent-tools/project-api/data-agent-mock-api.md">Creating and managing mock API endpoints</a></td></tr><tr><td><strong>Use MCP servers</strong><br><br>Allow your AI agents to use an MCP server to interact with Fabricate data.</td><td><a href="/fabricate/data-agent-tools/project-api/mcp-servers.md">Using MCP servers</a></td></tr><tr><td><strong>View endpoint and MCP server request history</strong><br><br>Review the log of requests to mock API endpoints and mock MCP servers.</td><td></td></tr><tr><td><strong>Use sandboxes</strong><br><br>Create temporary copies of project data to use.</td><td><a href="/fabricate/data-agent-tools/project-api/sandboxes.md">Using sandboxes</a></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.tonic.ai/fabricate/data-agent-tools/project-api.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
