Mcp Unhcrtheme — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Mcp Unhcrtheme (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
An MCP (Model Context Protocol) server that interacts with a FastAPI service to generate matplotlib charts.
This MCP server provides tools to:
localhost:8000 with the /plot endpointpip install -e .Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"fastapi-chart": {
"command": "python",
"args": ["-m", "mcp_fastapi_chart.server"]
}
}
}Configure your MCP client to run:
python -m mcp_fastapi_chart.servergenerate_chartGenerate a chart using the FastAPI chart generation service.
Parameters:
chart_type (string): Type of chart to generate - "line", "bar", "scatter", or "pie"title (string): Main title of the chartsubtitle (string): Subtitle of the chartx_label (string): Label for the X-axisy_label (string): Label for the Y-axisdata (object): Chart data with labels and valueslabels (array of strings): Labels for data pointsvalues (array of numbers): Values for data pointsExample Usage:
{
"chart_type": "line",
"title": "Asylum Applications Trend",
"subtitle": "Monthly applications received (2023-2024)",
"x_label": "Month",
"y_label": "Applications Received",
"data": {
"labels": ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
"values": [15400, 16800, 14200, 18900, 17600, 19500, 20300, 18700, 17400, 16200, 15800, 14900]
}
}check_fastapi_statusCheck if the FastAPI server is running and accessible.
Parameters: None
Your FastAPI server should have an endpoint at /plot that accepts POST requests with the following JSON structure:
{
"chart_type": "string",
"title": "string",
"subtitle": "string",
"data": {
"labels": ["string"],
"values": [number]
},
"x_label": "string",
"y_label": "string"
}And should return a PNG image as the response.
To run the server directly for testing:
python -m mcp_fastapi_chart.serverWhen you move your FastAPI server to the cloud, update the fastapi_base_url in mcp_fastapi_chart/server.py:
self.fastapi_base_url = "https://your-cloud-domain.com"localhost:8000/plot endpoint is working correctlyMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.