Narasimhaponnada/mermaid-mcp
Narasimhaponnada/mermaid-mcp is an open-source Model Context Protocol (MCP) server that enables AI assistants to generate a wide variety of diagrams using the Mermaid diagramming language. With support for over 22 diagram types—including flowcharts, sequence diagrams, class diagrams, entity-relationship diagrams, architecture diagrams, state machines, and more—the server interprets natural language requests and produces Mermaid code, which can be rendered as images, SVGs, or data URLs. This tool bridges the gap between conversational AI and visual documentation, allowing developers, architects, and technical writers to create complex diagrams simply by describing them. The server is designed to be self-hosted, giving users full control over their diagram generation environment. It can be deployed via Docker, npm, or directly from the source code, and integrates with any MCP-compatible client, such as Claude Desktop or other AI assistants. The architecture consists of a connector that handles MCP communication and a core server that processes diagram requests, leveraging Mermaid's powerful rendering engine. The tool also provides enhanced API responses, including SVG output and base64-encoded data URLs, for easy embedding in web applications or documents. Key features include AI-powered natural language to diagram conversion, a comprehensive library of diagram types, flexible deployment options, and extensibility for custom diagram configurations. The project is actively maintained on GitHub with a growing community, and it includes utilities for frontend integration and publishing as an npm package. Its lightweight design makes it suitable for both individual developers and enterprise teams looking to automate their diagramming workflows.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
Creating technical diagrams manually is often time-consuming and error-prone, especially for developers, architects, and technical writers who need to produce accurate visual documentation quickly. Narasimhaponnada/mermaid-mcp solves this problem by allowing AI assistants to generate diverse diagrams on demand from simple text descriptions. This eliminates the need for manual drafting, reduces the learning curve for diagramming tools, and ensures consistent, version-controllable diagram code that can be easily edited or regenerated.
Use cases
- Generating sequence diagrams from API call descriptions or user interaction flows.
- Creating class diagrams from descriptions of object-oriented code structures.
- Drawing flowcharts for business processes or algorithm visualizations.
- Producing entity-relationship diagrams for database schema design.
- Building architecture diagrams for system design and infrastructure planning.
- Crafting state machine diagrams for modeling application states and transitions.
Audience
- Developers
- ML Engineers
- Data Scientists
- Product Managers
- Researchers
Pros
- Supports 22+ Mermaid diagram types, covering most technical documentation needs.
- AI-powered natural language interface simplifies diagram creation.
- Self-hosted deployment gives full control and data privacy.
- Generates multiple output formats including SVG and data URLs.
- Open source with active community and npm publishing support.
Cons
- Limited to the Mermaid diagramming language; diagrams not exportable to other formats without conversion.
- Requires some technical setup and familiarity with MCP and server deployment.
- Relatively new project with a small user base, which may mean fewer community resources.
Official website: https://github.com/Narasimhaponnada/mermaid-mcp
Canonical LambdaBase page: https://www.lambdabase.com/tools/narasimhaponnada-mermaid-mcp