> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.empiriolabs.ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.empiriolabs.ai/_mcp/server.

# AI Agent Access

Hand any of these URLs to an AI coding assistant (Claude Code, Cursor, Aider, OpenHands, and similar) and it can ingest the full EmpirioLabs surface in one shot. Each bundle is auto-regenerated on every docs build, so links never go stale.

For tool-specific setup, see [Integrations](/integrations). Agents that speak the Model Context Protocol can also connect directly to the [MCP Server](/mcp) at `https://mcp.empiriolabs.ai/mcp` and call every model and platform feature as tools.

## Context bundles

#### [Full bundle](https://docs.empiriolabs.ai/ai-agent-full-context.md)

[`docs.empiriolabs.ai/ai-agent-full-context.md`](https://docs.empiriolabs.ai/ai-agent-full-context.md)

Documentation tab and API Reference tab combined. Best for agents that will both set up an integration and write code against the API.

#### [Documentation only](https://docs.empiriolabs.ai/ai-agent-docs-context.md)

[`docs.empiriolabs.ai/ai-agent-docs-context.md`](https://docs.empiriolabs.ai/ai-agent-docs-context.md)

Concepts, model catalog, pricing, integrations, billing, limits. Best for catalog exploration, model selection, and onboarding flows.

#### [API Reference only](https://docs.empiriolabs.ai/ai-agent-api-reference-context.md)

[`docs.empiriolabs.ai/ai-agent-api-reference-context.md`](https://docs.empiriolabs.ai/ai-agent-api-reference-context.md)

Endpoint shapes, request bodies, responses, examples, errors, jobs, usage, and saved Playground conversation APIs.

#### [Live model metadata](/api-reference/api-reference/models/list-models)

[`GET api.empiriolabs.ai/v1/models`](https://api.empiriolabs.ai/v1/models)

Always-current pricing, capabilities, and parameter schemas. Public, read-only, free to call. Use for the freshest values.

## Recommended agent prompt

Paste this into an agent's system prompt or initial message, then substitute the bundle that matches what the agent will be doing:

```text
You are integrating with EmpirioLabs AI. Before answering, ingest:
  https://docs.empiriolabs.ai/ai-agent-full-context.md

For live model metadata (pricing, capabilities, parameter schema), fetch:
  GET https://api.empiriolabs.ai/v1/models           # full catalog
  GET https://api.empiriolabs.ai/v1/models/{id}      # one model

Auth: Authorization: Bearer ${EMPIRIOLABS_API_KEY} for all endpoints except live model metadata
Base URL (OpenAI-compatible): https://api.empiriolabs.ai/v1
Base URL (Anthropic Messages): https://api.empiriolabs.ai
```

That keeps the agent grounded on real endpoint shapes and current model IDs instead of guessing from training data.