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Stellar provides resources to help AI assistants and Large Language Models (LLMs) understand our documentation, making it easier for you to get accurate answers about Stellar development.

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Raven (MCP server)

Raven is a remote Model Context Protocol (MCP) server for AI agents, hosted at raven.stellar.buzz. It is open source at the Raven repository. This is the recommended path: connect your agent once and it gets Stellar docs plus live ecosystem data, cross-referenced into single answers on demand. Raven exposes two MCP tools:
  • search — find relevant Stellar docs and ecosystem information.
  • execute — run queries against live ecosystem data.
Under the hood it wraps Stellar Docs (via Algolia), Lumenloop, Stellar Light, and ecosystem skills, so your agent gets one cross-referenced answer instead of several disconnected sources. Unlike the static llms.txt file and the installable Stellar Skills below, Raven is a live, hosted server your agent talks to. If you only need the documentation, use the lighter Stellar Docs MCP server instead. All of these work well together.
Try it in your browserraven.stellar.buzz/playground is a hosted chat UI where you can ask Raven questions directly in the browser, no agent setup required (sign-in required).

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Connect your agent

Add the server, then sign in. Sign-in happens inside your own client (Raven uses OAuth), so the first request opens your browser to authorize. For full setup details see raven.stellar.buzz.

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Stellar Docs MCP server

The Stellar Docs MCP server at https://developers.stellar.org/mcp gives your agent direct access to this documentation site. Your agent can search the docs, read full pages and OpenAPI specs, load Stellar skill guides (in clients that support MCP resources), and report pages that are wrong or out of date to the docs team. It needs no sign-in, it is read-only apart from feedback, and it serves the same published content you see here. Use it when you want answers grounded in the official docs and nothing else. Use Raven when you also want live ecosystem data. The server describes itself. Once connected, your client lists the current tools and resources, so this page does not repeat them. Ask your agent “What tools does the Stellar Docs MCP give you?” to see the current set.

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Connect your agent

The fastest way is the page menu at the top of any docs page. Choose Copy MCP server URL, Connect to Cursor, or Connect to VS Code. To add it by hand:
--scope user makes the server available in every project. Leave it off to add it to the current project only.

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Stellar Skills

skills.stellar.org is the home for Stellar Skills—a collection of AI agent skills that give your coding assistant the right Stellar context before it writes code. They work with any AI agent, and you can browse every skill on the website with no installation required. Skills are open source and maintained in the stellar/stellar-dev-skill repository.

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Official skills

The official skills cover the core areas of Stellar development:

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Community skills

The ecosystem also contributes skills for popular protocols and tools. Browse the full, up-to-date list at skills.stellar.org. Community skills are maintained by their respective authors, so review each one to confirm it meets your security and maintenance requirements before using it.

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stellar-build

For a more hands-on approach, the community-maintained stellar-build installer adds 46 skills plus a set of AI personas to Claude Code or Codex with a single command, guiding you through the whole journey—not just building, but also ideation and validation, all the way to launch.

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Installation

Skills can be installed on any AI coding tool that supports the Agent Skills standard. Each tool reads skills from its own directory:
Adds the skill to your tool permanently.

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Manual installation

Clone the repository and copy the contents of the skills/ directory into your agent’s skills location (see table above). Once installed, your AI coding assistant will automatically have access to up-to-date Stellar development knowledge when you work on Stellar projects. For other AI coding tools like Cursor, Windsurf, or Aider, you can consider the community-maintained OpenSkills CLI, which aims to bring the Agent Skills system to a wide range of AI coding agents. OpenSkills is a third-party project and not an official Stellar offering, so be sure to review the repository and its documentation to verify that it meets your security and maintenance requirements before using it.

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Using llms.txt

llms.txt is a standardized way to provide documentation context to AI systems. This file contains a structured overview of Stellar’s developer documentation optimized for LLM consumption. When you ask an AI assistant about Stellar, it can reference this file to:
  • Understand the structure of our documentation
  • Find relevant pages for your questions
  • Provide more accurate, up-to-date answers

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Other AI tools

Any AI assistant with custom context features can benefit from Stellar’s resources. You can add llms.txt to your tool’s context settings, or paste its contents directly into conversations to give the AI knowledge about Stellar development. Popular tools like ChatGPT, Claude, Gemini, and Cursor all support adding custom context through their settings. We’re actively working on dedicated integrations for more AI tools—check back for updates or follow the Stellar Skills repository for the latest supported platforms.

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Additional resources