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Mixpanel documentation is available in machine-readable formats so that AI agents, coding assistants, and LLM-powered tools can read it programmatically. Use these endpoints to feed documentation into a context window, a retrieval system, or an agentic workflow.

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Available Formats

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Individual Page Markdown

Append .md to any documentation URL to get that single page as plain Markdown. This is the cheapest option when an agent needs one topic rather than the whole corpus. Every link in llms.txt already points at the .md form, so an agent can read the index and fetch pages directly. You can also request Markdown for the original URL by sending an Accept: text/markdown header, which returns the same content as the .md variant. Use whichever fits your client: the suffix when you control the URL, the header when you are fetching canonical links you’d rather not rewrite.
Without the header, the same URL returns HTML.

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llms.txt

An index of every Mixpanel documentation page, following the llms.txt standard. Each entry links to the page’s Markdown version, and many carry a one-line description. The file is roughly 50 KB, so it fits comfortably in most context windows. https://docs.mixpanel.com/llms.txt

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llms-full.txt

The full text of every documentation page in a single file, currently about 3.5 MB. It exceeds most context windows, so chunk it or load it into a retrieval system rather than pasting it whole. https://docs.mixpanel.com/llms-full.txt

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OpenAPI Specifications

Every Mixpanel API is described by an OpenAPI specification. Use these to generate client code, validate requests, or give an agent precise knowledge of the available endpoints. The same list appears under ## OpenAPI Specs in llms.txt.

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Usage Examples

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Copy or Open Any Page

Every documentation page has a menu in the top right for copying the page as Markdown or opening it directly in ChatGPT, Claude, Perplexity, Grok, Cursor, or VS Code. Use it for one-off questions when you don’t want to wire up an integration.

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Add to a System Prompt

Paste the contents of llms.txt into your system prompt or tool context to give an agent a map of the documentation, then let it fetch the specific .md pages it needs. Avoid pasting llms-full.txt — at 3.5 MB it will overflow the context window.

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Use with the Documentation MCP Server

Mixpanel hosts a Model Context Protocol server for the documentation itself at https://docs.mixpanel.com/mcp. It exposes search and retrieval tools over the docs, so an agent can look up a topic on demand instead of loading the full corpus up front. Add it to any MCP-compatible client:

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Use with the Mixpanel MCP Server

The Mixpanel MCP Server is a separate server that gives AI assistants live access to your own Mixpanel project data. Use the documentation endpoints for product knowledge and the Mixpanel MCP Server for querying your events.

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Use with Mixpanel Headless

Mixpanel Headless is a Python SDK for coding agents. Pair it with llms.txt to give a coding agent both the API reference and the conceptual documentation it needs to write correct Mixpanel code.

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RAG Pipelines

Ingest llms-full.txt into a vector store or retrieval-augmented generation pipeline to power a custom docs chatbot or support tool. Chunk it first — the file is a single 3.5 MB document.