Mcp Plots
Turn agent-fetched metrics into Mermaid diagrams inside your repo docs, plans, and READMEs without opening a separate charting app.
Overview
mcp-plots is a MCP server for the Build phase that generates Mermaid-based data visualizations for agent-driven documentation.
What is this MCP server?
- MCP server dedicated to data visualization via Mermaid chart syntax
- stdio transport via PyPI package mcp-plots for Python-friendly agent hosts
- Keeps charts version-controlled as text instead of opaque image binaries
- Pairs with coding agents that already reason over markdown deliverables
- Repository MR901/mcp-plots with registry version 0.0.3 metadata
- PyPI identifier mcp-plots with published package version 0.0.2 in server manifest
- Server metadata version 0.0.3
- stdio transport only in registry schema
Community signal: 4 GitHub stars.
What problem does it solve?
You waste time redrawing charts by hand when your agent already has the data but cannot emit diagram-ready markdown.
Who is it for?
Builders who document frequently in markdown and want quick Mermaid charts from agent sessions without a separate design tool.
Skip if: Teams needing interactive dashboards, pixel-perfect slides, or heavy statistical visualization outside Mermaid’s grammar.
What do I get? / Deliverables
After registration, your agent can return Mermaid chart blocks you paste into docs, issues, or architecture notes.
- Mermaid chart source suitable for markdown fences
- Repeatable agent workflow for updating diagrams in docs
- Version-control-friendly visualization snippets without binary assets
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Journey fit
Visualization during Build shows up when you document architecture, experiment results, or PM specs alongside code. Docs is the canonical shelf because Mermaid output ships as text artifacts agents embed in markdown and technical write-ups.
How it compares
Mermaid chart MCP utility, not a full observability or notebook analytics platform.
Common Questions / FAQ
Who is mcp-plots for?
Solo developers and small teams using MCP-enabled agents who want text-based Mermaid charts in technical docs and specs.
When should I use mcp-plots?
Use it while building when you are writing docs, PM artifacts, or README visuals and want the agent to draft diagrams from described data.
How do I add mcp-plots to my agent?
Install the PyPI package mcp-plots, configure stdio MCP in your client pointing at that entrypoint, and invoke plot tools from your agent session.