Convert JSON data into Plotly charts or PNGs through an MCP service.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-plotting-server" yet — see the docs or source repo.
Convert the following JSON sales data into a Plotly line chart with months on the X-axis and sales on the Y-axis, and return a renderable Plotly figure JSON: {"months":["Jan","Feb","Mar"],"sales":[120,150,180]}A valid Plotly figure JSON that can be directly rendered as a sales trend chart.
Create a bar chart from the following JSON data and return it as a PNG image for a weekly report: {"categories":["Product A","Product B","Product C"],"values":[35,52,41]}A clear bar chart PNG suitable for reports or presentation slides.
I have a Plotly figure configuration JSON. Check whether it is valid; if not, fix it and return a valid figure JSON: {"data":[{"type":"scatter","x":[1,2,3],"y":[2,4,6]}],"layout":{"title":"Test Chart"}}A validated or corrected Plotly figure JSON that can be rendered successfully.
Generate type-safe charts through MCP for AI apps using structured data.
Connect to Jupyter via MCP to run code and explore data interactively.
Deploy a production-ready MCP server with demo tools and interactive testing UI.
Generate rich charts and support data analysis for clearer visual communication.
A lightweight MCP tool for math, API fetching, and usage monitoring.
Use specialized MCP servers for data, documents, calendars, and prompt workflows.