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mcp-vegalite-server
isaacwasserman/mcp-vegalite-server
🔗 Latest commit:16aefed
🕒 Updated:Sep 9, 2025, 01:06 PM
Python
Data Science
MCP server from isaacwasserman/mcp-vegalite-server
MCP Trust Score
Based on our comprehensive evaluation criteria
🤖 Evaluated by gemini-2.5-flashFix
Trust Score44/100
- • Basic MCP protocol features implemented (12/40)
- • Limited GitHub community activity (6/20)
- • Optimal dependency management (20/20)
- • Room for improvement in deployment maturity
- • Documentation (8/8)
- • Archestra MCP Trust score badge is missing
GitHub Metrics
Repository statistics and activity
⭐ GitHub Stars:83
👥 Contributors:3
📋 Total Issues:2
📦 Has Releases:No
🔧 Has CI/CD Pipeline:No
Configuration
Configuration example extracted from README.md for Claude Desktop and other clients.
🤖 Evaluated by gemini-2.5-flashFix
{
"mcp_server_datavis-png": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"png"
],
"env": {}
},
"mcp_server_datavis-text": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_datavis",
"--output_type",
"text"
],
"env": {}
}
}MCP Protocol Support
Implemented MCP protocol features
🤖 Evaluated by gemini-2.5-flashFix
Tools:✓
Prompts:✗
Resources:✗
Sampling:✗
Roots:✗
Logging:✗
STDIO Transport:✓
HTTP Transport:✗
OAuth2 Auth:✗
Dependencies
2 dependencies
Libraries and frameworks used by this MCP server
🤖 Evaluated by gemini-2.5-flashFix
README.md
Data Visualization MCP Server
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 saveddata(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 visualizedvegalite_specification(string): JSON string representing the Vega-Lite specification
- Returns: If the
--output_typeis set totext, returns a success message with an additionalartifactkey containing the complete Vega-Lite specification with data. If the--output_typeis set topng, returns a base64 encoded PNG image of the visualization using the MPCImageContentcontainer.
Usage with Claude Desktop
# 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"
]
}
}
}
Resources
Add Quality Badge
Show your MCP trust score in your README
[](https://archestra.ai/mcp-catalog/isaacwasserman__mcp-vegalite-server)README.md
Data Visualization MCP Server
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 saveddata(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 visualizedvegalite_specification(string): JSON string representing the Vega-Lite specification
- Returns: If the
--output_typeis set totext, returns a success message with an additionalartifactkey containing the complete Vega-Lite specification with data. If the--output_typeis set topng, returns a base64 encoded PNG image of the visualization using the MPCImageContentcontainer.
Usage with Claude Desktop
# 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"
]
}
}
}
