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Build with AstrologyAPI + LLMs

You can use large language models (LLMs) to assist in building astrology integrations. We provide tools and best practices for using LLMs during development with the Vedic Rishi MCP Server.

Plain text docs

Each page of our documentation is available as plain text markdown. Simply add .md to the end of any URL to access the markdown version optimized for AI consumption.

Plain text is ideal for AI consumption because it contains fewer formatting tokens, includes content from hidden tabs, and follows a clear hierarchy.

  • Plain text contains fewer formatting tokens.

  • Content that isn’t rendered in the default view (for example, it’s hidden in a tab) is rendered in the plain text version.

  • LLMs can parse and understand markdown hierarchy.

We host an /llms.txt file, which follows the emerging standard for making content accessible to LLMs.

Model Context Protocol (MCP)

The Stripe Model Context Protocol (MCP) defines a set of tools that AI agents can use to interact with the Stripe API and search our knowledge base.

If you’re using an agent to help build your Stripe integration, connect it to our MCP server.

API Documentation & SDKs

We provide comprehensive API documentation with detailed examples and TypeScript/JavaScript SDKs for easy integration.

  • Get immediate answers about the Stripe API and products

  • Receive code suggestions tailored to your integration

  • Ask follow-up questions for more detailed information

  • Access knowledge from the Stripe documentation and the Stripe developer community

  1. Make sure you have the Stripe VS Code extension installed.

  2. Navigate to the Stripe extension UI

  3. Under AI Assistant click Ask a question.

    • If you’re a Copilot user, @-mention @stripe.

    • If you’re not a Copilot user, use the dedicated chat UI.

Stripe Agent Toolkit SDK

We provide an SDK for adding Stripe functionality to your agentic software, compatible with frameworks like OpenAI, Vercel AI SDK, Langchain, and CrewAI.

  • Create Stripe objects

  • Charge for agent usage

  • Use with popular frameworks such as OpenAI’s Agent SDK, Vercel’s AI SDK, Langchain, and CrewAI

Learn more about agents.

Related guides

If you are wiring tool calls yourself instead of using MCP, the Ground an LLM on computed charts guide walks through the same architecture with the Anthropic SDK: the model asks for chart data, the API computes it, and the model interprets only what came back.