> ## Documentation Index
> Fetch the complete documentation index at: https://docs.p2p.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Aggregated Docs for LLMs

> Reference the entire P2P.ORG API documentation in your AI tool

## Add P2P.ORG Docs to Your LLM

Adding P2P.ORG docs to your LLM lets you interact with our docs and get the most accurate answers to your questions.

Access the outline of the docs, including links to all markdown pages, here:

* [https://docs.p2p.org/llms.txt](https://docs.p2p.org/llms.txt).

To access the full content of these pages, you can also access this aggregated markdown file containing the whole documentation:

1. Go to [p2p\_aggregated\_docs.md](https://github.com/AndreGZommerfelds/p2p-docs-aggregator/blob/main/p2p_aggregated_docs.md)
2. Attach the file to your LLM, or reference it directly in the AI tool

## Example Using Cursor

[Cursor](https://www.cursor.com/) is an AI code editor that makes it easy to write code while integrating with P2P.ORG APIs. Here is how to setup Cursor to build with our documentation.

This will let you interact with our docs directly and get the most accurate answers to your questions.

1. Go to Cursor Settings > Features > Docs and click "+ Add new doc"
2. Paste [this URL](https://raw.githubusercontent.com/AndreGZommerfelds/p2p-docs-aggregator/refs/heads/main/p2p_aggregated_docs.md)
3. Change the name to P2P, and leave everything else the same.
4. Wait until the docs have been fully indexed. You can check the progress in the Cursor Settings.
5. Now you can reference the P2P docs in your prompt using `@P2P`


## Related topics

- [P2P.ORG Documentation Hub](/index.md)
- [Using MCP to Read API Docs](/docs/mcp.md)
- [Overview for AI Tools ✨](/docs/overview-ai.md)
- [Overview for AI Tools](/reference/overview-for-ai-tools.md)
- [Get Portfolio Summary](/reference/get-positions-summary.md)