pulsemcp verified Safe content atomic mcp-remote

Vega-Lite Data Visualization

This MCP server, developed by Isaac Wasserman, enables AI assistants like Claude to create data visualizations using Vega-Lite syntax. Built in Python, it provides two core functions: saving data tables and generating visualizations from that data. The implementation stands out by leveraging the expressive power of Vega-Lite for creating a wide range of chart types. By connecting AI capabilities with data visualization, this server enables AI systems to analyze and present data visually. It is particularly useful for scenarios like exploratory data analysis, creating reports with charts, and building AI assistants that can generate insightful data visualizations on demand.

Cognium trust score

98%

Tier

Verified

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: other
Source: PulseMCP
Repository: github.com/isaacwasserman/mcp-vegalite-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Vega-Lite 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"