io.github.MR901/mcp-plots

MCPcommunity
v0.0.3io.github.MR901UnknownUpdated 9mo agoGitHub

MCP server for data visualization with Mermaid charts.

[]( []( []( []( []( [](LICENSE) A Model Context Protocol (MCP) server for data visualization. It exposes tools to render charts (line, bar, pie, scatter, heatmap, etc.) from data and returns the plot as image/base64 text/mermaid diagram. Instant, visual-first charts using Mermaid (renders directly in MCP clients like Cursor) Simple prompts to generate charts from plain data Zero-setup options via…

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9mo agoLast update
Package
Authorio.github.MR901
LicenseUnknown
Version0.0.3
Sourcemcp-registry
GitHubMR901/mcp-plots
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.0.2 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

[]( []( []( []( []( [](LICENSE) A Model Context Protocol (MCP) server for data visualization. It exposes tools to render charts (line, bar, pie, scatter, heatmap, etc.) from data and returns the plot as image/base64 text/mermaid diagram. Instant, visual-first charts using Mermaid (renders directly in MCP clients like Cursor) Simple prompts to generate charts from plain data Zero-setup options via uvx, or install from PyPI/Docker Flexible output formats: mermaid (default), PNG image, or text Ask…

Keywords
mcp