Renders Mermaid syntax diagrams generated by AI assistants in a web interface, enabling visualization of code structures, workflows, and architectures
Supports development workflow with hot module reloading for the client interface
Mindpilot MCP
See through your agent's eyes. Visualize legacy code, inspect complex flows, understand everything.
Why Mindpilot?
- Visualize Anything: Use your coding agent to generate on-demand architecture, code, and process diagrams to view your code from different perspectives.
- Vibe Checks: AI-generated code can accumulate unused and redundant constructs. Use visualizations to spot areas that need cleanup.
- Local Processing: Diagrams are never sent to the cloud. Everything stays between you, your agent, and your agent's LLM provider(s).
- Export & Share: Export any diagram as a vector image.
Prerequisites
Node.js v20.0.0 or higher.
Quickstart
Claude Code
claude mcp add mindpilot -- npx @mindpilot/mcp@latest
Cursor
Under Settings
> Cursor Settings
> MCP
> Click Add new global MCP server
and configure mindpilot in the mcpServers
object.
VS Code
Follow the instructions here for enabling MCPs in VS Code: https://code.visualstudio.com/docs/copilot/chat/mcp-servers
Go to Settings
> Features
> MCP
, then click Edit in settings json
Then add mindpilot to your MCP configuration:
Windsurf
Under Settings
> Windsurf Settings
> Manage Plugins
, click view raw config
and configure mindpilot in the mcpServers
object:
Zed
In the AI Thread panel click on the three dots ...
, then click Add Custom Server...
In the Command to run MCPserver
field enter npx @mindpilot/mcp@latest
and click Add Server
.
Configuration Options
- Port: The server defaults to port 4000 but can be configured using the
--port
command line switch. - Data Path: By default, diagrams are saved to
~/.mindpilot/data/
. You can specify a custom location using the--data-path
command line switch.
Multi-Client Support
Mindpilot intelligently handles multiple AI assistants running simultaneously. When you have multiple Claude Desktop windows or IDE instances open:
- The first assistant to use Mindpilot starts a shared web server
- Additional assistants automatically connect to the existing server
- All assistants share the same diagram history and web interface
- The server automatically shuts down a minute after the last assistant disconnects
This means you can work with multiple AI assistants at once without port conflicts, and they'll all contribute to the same collection of diagrams.
Anonymous Usage Tracking
Mindpilot MCP collects anonymous usage data to help us understand how the product is being used and improve the user experience.
Disabling Analytics
If you prefer not to share anonymous usage data, you can disable analytics by adding the --disable-analytics
flag to your MCP configuration:
Claude Code:
Other IDEs:
Add "--disable-analytics"
to the args array in your configuration:
Using the MCP server
After configuring the MCP in your coding agent you can make requests like "create a diagram about x" and it should use the MCP server to render Mermaid diagrams for you in a browser connected to the MCP server.
You can optionally update your agent's rules file to give specific instructions about when to use mindpilot-mcp.
Example requests
- "Show me the state machine for WebSocket connection logic"
- "Create a C4 context diagram of this project's architecture."
- "Show me the OAuth flow as a sequence diagram"
How it works
Frontier LLMs are well trained to generate valid Mermaid syntax. The MCP is designed to accept Mermaid syntax and render diagrams in a web app running on http://localhost:4000 (default port).
Troubleshooting
Port Conflicts
If you use port 4000 for another service you can configure the MCP to use a different port.
Claude Code example:
claude mcp add mindpilot -- npx @mindpilot/mcp@latest --port 5555
Custom Data Path
To save diagrams to a custom location (e.g., for syncing with cloud storage):
Claude Code example:
claude mcp add mindpilot -- npx @mindpilot/mcp@latest --data-path /path/to/custom/location
Other IDEs:
asdf Issues
If you use asdf
as a version manager and have trouble getting MCPs to work (not just mindpilot), you may need to set a "global" nodejs version from your home directory.
Development Configuration
Configure the MCP in your coding agent (using claude
in this example)
claude mcp add mindpilot -- npx tsx <path to...>/src/server/server.ts
Run claude
with the --debug
flag if you need to see MCP errors
Start the development client (Vite) to get hot module reloading while developing.
npm run dev
Open the development client
localhost:5173
local-only server
The server can only run on the client's local machine because it depends on local resources.
Visualize anything from Claude Code as a mermaid diagram in a locally hosted web app.
- Why Mindpilot?
- Prerequisites
- Quickstart
- Configuration Options
- Multi-Client Support
- Anonymous Usage Tracking
- Using the MCP server
- How it works
- Troubleshooting
- Development Configuration
Related Resources
Related MCP Servers
- -securityFlicense-qualityEnables programmatic creation of Whimsical diagrams from Mermaid markup generated by AI models like Claude through the Model Context Protocol.Last updated -13TypeScript
- AsecurityAlicenseAqualityA Model Context Protocol server that validates and renders Mermaid diagrams.Last updated -146327JavaScriptMIT License
- -securityAlicense-qualityA server that implements the Model Context Protocol (MCP), providing an interface for LLM applications to generate mermaid.js visualizations and diagrams.Last updated -PythonMIT License
- -securityAlicense-qualityAn MCP server that converts text inputs into visualized flowcharts, enabling AI clients to generate high-quality Mermaid diagrams directly from natural language descriptions or structured text.Last updated -6PythonMIT License