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Vega-Lite Data Visualization

The MCP Vega-Lite Server provides AI assistants with data visualization capabilities using the Vega-Lite specification language. It offers two core tools: 'save_data' for storing tabular data and 'visualize_data' for generating visualizations from that data. The server can output either text-based Vega-Lite specifications or render them as PNG images, making it flexible for different display needs. Built with Python and containerized with Docker, it's designed for seamless integration with Claude Desktop and other MCP-compatible systems, enabling AI assistants to create custom charts and graphs from user data without leaving the conversation interface.

Cognium trust score

94%

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/markomitranic/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"