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  1. Home
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  3. MCP Vegalite Server
MCP Vegalite Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 7:46:44 PM

MCP Vegalite Server

User RatingsBe the first to rate and review this MCP server!
View Repository100 GitHub StarsTotal stargazers on GitHub for the source repository (100 stars).Visit Website
datavisualizationvegalitemcpimagejson

MCP server to save data tables and generate Vega-Lite visualizations as JSON specs or PNG images.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for isaacwasserman/mcp-vegalite-server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (10) Directory Badge Claim listing Alternatives🛠️ More in Other Tools and Integrations

Overview

This MCP server enables AI agents to save tabular data and create visualizations using Vega-Lite syntax. It accepts data tables by name and renders visualizations either as Vega-Lite JSON specifications or as base64-encoded PNG images. Use this server when you need programmatic generation of data visualizations from structured data within an MCP-enabled environment.

Use cases

•Save structured data tables for visualization
•Generate Vega-Lite JSON visualization specifications
•Render visualizations as PNG images for embedding
•Integrate data visualization capabilities into AI workflows

Key features

•Save named data tables as arrays of objects
•Visualize data using Vega-Lite JSON specifications
•Output visualizations as JSON specs or PNG images
•Return visualization artifacts compatible with MCP ImageContent

Capabilities & Tool Schemas (10) ~22 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Vegalite Server.

save_data

Callable MCP tool function

name

Callable MCP tool function

data

Callable MCP tool function

visualize_data

Callable MCP tool function

data_name

Callable MCP tool function

vegalite_specification

Callable MCP tool function

Documentation Overview

MseeP.ai Security Assessment Badge

Data Visualization MCP Server

smithery badge

Overview

A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.

Components

Tools

The server offers two core tools:

  • save_data
    • Save a table of data agregations to the server for later visualization
    • Input:
      • name (string): Name of the data table to be saved
      • data (array): Array of objects representing the data table
    • Returns: success message
  • visualize_data
    • Visualize a table of data using Vega-Lite syntax
    • Input:
      • data_name (string): Name of the data table to be visualized
      • vegalite_specification (string): JSON string representing the Vega-Lite specification
    • Returns: If the --output_type is set to text, returns a success message with an additional artifact key containing the complete Vega-Lite specification with data. If the --output_type is set to png, returns a base64 encoded PNG image of the visualization using the MPC ImageContent container.

Usage with Claude Desktop

python
# Add the server to your claude_desktop_config.json
{
  "mcpServers": {
    "datavis": {
        "command": "uv",
        "args": [
            "--directory",
            "/absolute/path/to/mcp-datavis-server",
            "run",
            "mcp_server_datavis",
            "--output_type",
            "png" # or "text"
        ]
    }
  }
}

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
100
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Tools exposed
10
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Vegalite Server

It accepts data as arrays of objects representing tables, saved under a specified name.

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Technical Specs & Signals

Category🛠️Other Tools and Integrations
PricingFree
More technical detailsExpand ▾
AuthNo auth required
ClientsClaude Desktop
Last updatedAug 9, 2026
13/13 checks healthy over the last 33d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars100
GitHub Star CountTotal stargazers on GitHub representing community popularity (100 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 16, 2025
47Quality signal: Fair · 47/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools22/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🛠️ Other Tools and Integrations →Alternatives to MCP Vegalite Server →Install in Claude DesktopInstall in CursorInstall in VS Code