About
Kroki Server is a diagram generation service that converts text-based diagram definitions into images using Kroki.io. Key capabilities of Kroki Server: - Generate shareable URLs for diagrams from text definitions - Download diagrams as SVG, PNG, PDF, or JPEG files - Support for multiple diagram languages including Mermaid, PlantUML, and Graphviz - Optional scaling controls for adjusting output dimensions - Works with any of the 20+ diagram formats supported by Kroki.io
README
MCP Kroki Server
An MCP (Model Context Protocol) server for converting Mermaid diagrams to SVG images using Kroki.io.
Features
Installation
local install
git clone https://github.com/tkoba1974/mcp-kroki.git
cd mcp-kroki
npm install
npm run build
Usage
The server provides two main tools:
1. Generate Diagram URL
Generates a URL for a diagram using Kroki.io.
Parameters:
type: The diagram type (e.g., "mermaid", "plantuml")content: The diagram content in the specified formatoutputFormat (optional): The output format (svg, png, pdf, jpeg, base64)2. Download Diagram
Downloads a diagram to a local file.
Parameters:
type: The diagram type (e.g., "mermaid", "plantuml")content: The diagram content in the specified formatoutputPath: The path where the diagram should be savedoutputFormat (optional): The output format (svg, png, pdf, jpeg)scale (optional, number, default: 1.0): Scaling factor for the diagram dimensions. Currently only affects SVG output by attempting to modify width/height attributes. Minimum value is 0.1.Example
// Generate a URL for a Mermaid diagram
const result = await callTool('generate_diagram_url', {
type: 'mermaid',
content: 'graph TD; A-->B; B-->C; C-->D;',
outputFormat: 'svg'
});// Download a Mermaid diagram
const result = await callTool('download_diagram', {
type: 'mermaid',
content: 'graph TD; A-->B; B-->C; C-->D;',
outputPath: '/path/to/diagram.svg'
});
How It Works
The server uses the Kroki.io API to convert diagrams. The diagram content is compressed and encoded before being sent to Kroki.io.
Usage with Claude Desktop
Add to your Claude Desktop configuration file (claude_desktop_config.json):
local install:
{
"mcpServers": {
"mcp-kroki": {
"command": "node",
"args": ["/path/to/mcp-kroki/build/index.js"]
}
}
}
npx：
{
"mcpServers": {
"mcp-kroki": {
"command": "npx",
"args": [
"-y",
"@tkoba1974/mcp-kroki"
]
}
}
}
License
MIT
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support