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Documentation Index

Fetch the complete documentation index at: https://docs.meteora.ag/llms.txt

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

Meteora provides structured documentation files purpose-built for LLMs and AI agents, following the llmstxt.org standard.
Use llms.txt when your agent needs a compact map of the docs. Use Documentation MCP when your AI tool can call MCP tools and should search or read pages interactively.

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llms.txt

A plain Markdown file containing a structured index of Meteora documentation with titles and descriptions for each indexed page:
  • Site title as an H1 heading
  • Sections for major areas such as Get Started, User Guides, Core Products, Helper Products, Developer Guides, Invent, Agents, Protocol, and Resources
  • Links with descriptions for product guides, SDK references, API references, and resources
  • OpenAPI spec links where API reference specifications are indexed

llms.txt

Open the llms.txt for Meteora docs
# Meteora Documentation

## Get Started

- [We Build Liquidity Pools](https://docs.meteora.ag/get-started.md): The Most Composable Liquidity Layer...
- [What is DLMM?](https://docs.meteora.ag/core-products/dlmm/what-is-dlmm.md): Learn how Meteora's DLMM organizes liquidity...
- [DAMM v2 Developer Guide](https://docs.meteora.ag/developer-guides/damm-v2/index.md): Learn how to build DAMM v2 integrations...
- [Dynamic Bonding Curve Developer Guide](https://docs.meteora.ag/developer-guides/dbc/index.md): Learn how to build Dynamic Bonding Curve integrations...

## OpenAPI Specs

- [openapi](https://docs.meteora.ag/api-reference/dlmm/openapi.json)
This is the best first fetch for agents that need to decide which Meteora product, guide, SDK reference, API reference, or raw Markdown page to read next.

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llms-full.txt

llms-full.txt

Open the llms-full.txt for Meteora docs
While llms.txt provides a concise index, llms-full.txt contains the entire documentation site as context, including descriptions, code examples, guides, API references, and product explanations. Use llms-full.txt when:
  • Your AI tool needs complete, granular context for deep indexing
  • You’re building custom RAG pipelines over Meteora docs
  • You want every code example available for reference

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Raw Markdown Pages

Any documentation page can be accessed as raw Markdown, making it easy for AI agents to consume individual pages programmatically. Method 1: Append .md to the URL 
curl https://docs.meteora.ag/core-products/dlmm/what-is-dlmm.md
curl https://docs.meteora.ag/core-products/damm-v2/what-is-damm-v2.md
curl https://docs.meteora.ag/core-products/dbc/what-is-dbc.md
curl https://docs.meteora.ag/developer-guides/dlmm/typescript-sdk/getting-started.md
curl https://docs.meteora.ag/developer-guides/damm-v2/typescript-sdk/getting-started.md
curl https://docs.meteora.ag/developer-guides/dbc/typescript-sdk/getting-started.md
Method 2: Use the Accept header 
curl -H "Accept: text/markdown" https://docs.meteora.ag/developer-guides/damm-v2/typescript-sdk/getting-started
Both methods return the page content as text/markdown.

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How Agents Should Use These Files

NeedBest entrypoint
Discover the docs structurehttps://docs.meteora.ag/llms.txt
Ingest the full docs corpushttps://docs.meteora.ag/llms-full.txt
Read one exact pageAppend .md to the page URL
Search and read from an MCP clienthttps://docs.meteora.ag/mcp
For most agent workflows, start with llms.txt, fetch only the relevant .md pages, and use llms-full.txt only when you intentionally want the full corpus in one document.