The Plots MCP Server is a Model Context Protocol server designed for data visualization, allowing users to render various types of charts from data and return the plots as images or diagrams.
From the registry: MCP server for data visualization with Mermaid charts.
Please install the `plots-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.10+** — Python runtime required
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["mcp-plots","--transport","stdio"]
- optional environment variables:
- `CHART_DEFAULT_WIDTH`: Default chart width in pixels (example: `800`)
- `CHART_DEFAULT_HEIGHT`: Default chart height in pixels (example: `600`)
Note: Data visualization MCP. Default output is Mermaid (renders in Cursor). Also supports PNG and text. Tools: render_chart, configure_preferences, list_chart_types, list_themes. Install: pip install mcp-plots.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.MCP_TRANSPORTrequiredTransport type: streamable-http or stdio.LOG_LEVELrequiredLogging level: DEBUG, INFO, WARNING, ERROR, CRITICAL.Trending hip-hop artist momentum scores across four cultural dimensions.
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.