About
A lightweight MCP server that renders Mermaid charts from source files, providing instant preview and error handling. Ideal for developers wanting quick visual validation of diagrams in codebases.
Capabilities

Overview
The Mermaid Preview MCP is a lightweight server that bridges the gap between AI assistants and visual diagramming by providing real‑time rendering of Mermaid syntax. It addresses a common pain point for developers and technical writers: converting plain text diagram definitions into polished, interactive visuals without leaving the AI workflow. By exposing a simple HTTP API that accepts Mermaid code and returns an SVG or PNG image, the server lets Claude or other MCP‑compatible assistants generate diagrams on demand, validate syntax, and surface errors directly to the user.
Core Functionality
At its heart, the server parses Mermaid scripts and produces rendered images. When a diagram contains syntax errors, the MCP responds with detailed diagnostics rather than silently failing, enabling developers to correct issues immediately. The server also supports rendering diagrams that reference GitHub repositories—allowing the assistant to fetch source files or directory trees and embed them into flowcharts, Gantt charts, or sequence diagrams. This repository integration turns static diagram definitions into dynamic visualizations that reflect real project structure.
Key Features
- Syntax validation: The server returns precise error messages when Mermaid code is malformed, helping developers debug quickly.
- Repository visualization: By pulling data from GitHub, the MCP can generate diagrams that map out repository layouts, dependency graphs, or CI pipelines.
- SVG/PNG output: The rendered diagram is delivered in a web‑friendly format that can be embedded in documentation, chat interfaces, or dashboards.
- Stateless API: Each request is independent, making the server easy to scale and integrate into existing AI pipelines without maintaining session state.
Use Cases
- Documentation generation – An AI assistant can ask a user for a description of a process and automatically produce a Mermaid diagram, embedding it in Markdown or HTML docs.
- Project onboarding – New contributors receive a visual map of the repository structure generated by the assistant, improving navigation and understanding.
- Continuous integration – CI pipelines can invoke the MCP to render Gantt charts or deployment flow diagrams from Mermaid definitions stored in the repo, providing visual status updates.
- Education and training – Instructors can prompt the assistant to generate example diagrams on the fly, facilitating interactive learning sessions.
Integration with AI Workflows
Developers can expose the MCP’s endpoint to Claude, allowing the assistant to send a Mermaid string and receive an image URL in response. Because the server is stateless, it can be deployed behind a CDN or as a container in Kubernetes, fitting seamlessly into micro‑service architectures. The diagnostic feedback also enables the assistant to offer step‑by‑step corrections, turning diagram creation into a conversational experience.
Standout Advantages
Unlike generic image generation models, the Mermaid Preview MCP guarantees that output adheres to Mermaid’s syntax rules and preserves visual fidelity. Its tight coupling with GitHub repositories means diagrams can stay in sync with code, reducing manual maintenance. For teams that rely heavily on Markdown documentation and want to keep diagrams up‑to‑date without manual rendering tools, this MCP offers a focused, dependable solution that enhances productivity and reduces friction in AI‑augmented development workflows.
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