Marimo Docs MCP Server

The Marimo Docs MCP server is a dedicated bridge that exposes the rich API documentation of the Marimo data‑science notebook framework to AI assistants. By translating static web pages into structured, queryable resources, the server allows Claude or similar models to retrieve precise information about any UI component, layout element, or core feature without manual web scraping. This eliminates the need for developers to manually parse Markdown or HTML, enabling instant access to up‑to‑date documentation directly within an AI workflow.

At its core, the server offers two primary tools. fetches comprehensive details for a specified Marimo element—returning its title, description, parameter list with types and defaults, code snippets, and recommended usage patterns. performs a full‑text search across the entire documentation, returning an array of matching entries that span inputs, layouts, media components, and core functionalities such as Markdown rendering or state management. These tools are designed to be invoked by an AI assistant, which can then incorporate the retrieved data into explanations, code generation prompts, or troubleshooting queries.

For developers building AI‑powered IDE extensions or chatbots, the server’s structured outputs mean that a model can answer questions like “How do I create a slider with a default value of 5?” or “What parameters does the media element accept?” without the model needing to guess from vague prompts. The caching layer and recursive search logic ensure that repeated queries are fast, while the clear error handling provides helpful guidance when an element name is misspelled or unsupported.

Typical use cases include:

• Code generation – an assistant can auto‑generate component snippets that are guaranteed to match the latest API.
• Documentation lookup – developers can ask for quick references while coding, reducing context switching.
• Educational tools – students learning Marimo can query the server to explore component capabilities in real time.
• Automated testing – scripts can programmatically fetch documentation to validate that examples in the codebase stay consistent with official specs.

By integrating seamlessly into existing MCP‑compatible toolchains, the Marimo Docs MCP server becomes a reusable knowledge source that elevates AI assistants from generic code generators to precise, context‑aware helpers tailored to the Marimo ecosystem.