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You can use large language models (LLMs) to assist in building Hyperline integrations. This page explains how to access our documentation in LLM-friendly formats and how to connect AI assistants directly to your Hyperline account.

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Using documentation with LLMs

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llms.txt

The llms.txt file is an industry standard that helps LLMs index content efficiently, similar to how a sitemap helps search engines. AI tools use this file to understand your documentation structure and find relevant content. We automatically host an llms.txt file that lists all available pages: docs.hyperline.co/llms.txt

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skill.md

The skill.md specification is a structured, machine-readable format that describes what AI agents can accomplish with Hyperline. While llms.txt tells agents where to find information, skill.md tells them what capabilities are available, what inputs are required, and what constraints apply. We automatically host a skill.md file: docs.hyperline.co/skill.md Agents can process this file using the skills CLI: 
npx skills add docs.hyperline.co/skill.md

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Documentation MCP Server

The Model Context Protocol (MCP) is an open standard that allows AI assistants to connect directly to external services. When connected to our documentation MCP server, AI tools can search our docs during response generation — providing more accurate answers than generic web searches. Connect your AI tools to our documentation MCP server at https://docs.hyperline.co/mcp:
  1. Navigate to the Connectors page in the Claude settings
  2. Select Add custom connector
  3. Add the server name (e.g., hyperline-docs) and URL: https://docs.hyperline.co/mcp
  4. Select Add
  5. When using Claude, select the attachments button (the + icon)
  6. Select your MCP server

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Hyperline MCP Server

Beyond accessing documentation, you can connect AI assistants directly to your Hyperline account to interact with your billing data using natural language. The Hyperline MCP server enables you to:
  • Query and manage customers
  • View and create subscriptions
  • Generate invoices
  • Access analytics and revenue metrics
  • And more
This allows you to ask your AI assistant questions like:
  • “Show me all customers with overdue invoices”
  • “What’s my current MRR?”
  • “Create a new subscription for customer X”

Hyperline MCP Server

Learn how to set up and use the Hyperline MCP server to connect AI assistants to your billing data.