Data Visualization
A Python-based MCP server that provides comprehensive data visualization capabilities through matplotlib, networkx, and other scientific libraries. The implementation offers eight specialized visualization tools including relationship graphs, scatter plots, 3D visualizations, classification plots, histograms, line charts, and heatmaps, with each plot automatically saved to temporary files and displayed to users. Built using FastMCP for streamlined server setup, it's designed for data analysis workflows where AI assistants need to generate visual representations of datasets, explore relationships between variables, or create publication-ready charts without requiring users to write plotting code directly.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- maps-location
- Source
- PulseMCP
- Repository
- github.com/xlisp/visualization-mcp-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Data Visualization from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.