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Kroki-MCP is a Go-based Model Context Protocol tool that converts textual diagram definitions (PlantUML, Mermaid, and more) into images via a Kroki backend. Designed for simplicity and flexibility, it supports both local and remote Kroki servers, offers configurable settings, and outputs multiple formats – making it ideal for developers building AI
kroki-mcp is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 49/100. Kroki-MCP is a Go-based Model Context Protocol tool that converts textual diagram definitions (PlantUML, Mermaid, and more) into images via a Kroki backend. Des. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding kroki-mcp to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/utain/kroki-mcp.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "utain/kroki-mcp"
}Kroki-MCP is a Go-based Model Context Protocol tool that converts textual diagram definitions (PlantUML, Mermaid, and more) into images via a Kroki backend. Designed for simplicity and flexibility, it supports both local and remote Kroki servers, offers configurable settings, and outputs multiple formats – making it ideal for developers building AI