"python" matching MCP servers:

A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.

Enables LLM clients to run Python code in a persistent, user-selected interpreter via MCP, with tools for data loading, summaries, regressions, diagnostics, and plotting, while keeping sessions alive between calls and isolating crashes.

Enables secure execution of statistical Python code in isolated micro-VM sandboxes, generating charts and analytical summaries.

Zero-dependency charts for Python and AI agents. SVG and PNG, 15 chart types, a one-line MCP server, and a Claude skill.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.

Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.

A comprehensive MCP server that provides intelligent access to the HoloViz ecosystem, enabling AI assistants to help you build interactive dashboards and data visualizations with Panel, hvPlot, Lumen, Datashader, and your favorite Python libraries.

Lets agents and chat clients load battery cells, collect them into frames, render figures, export data, look up cellpy API calls, and set up batch projects without writing Python.

Enables time series analysis following Box-Jenkins-Treadway methodology, supporting guided or autonomous modes for model identification, estimation, and diagnosis via an LLM.

Generate 25+ types of hand-drawn Excalidraw diagrams - flowcharts, sequence, architecture, mind maps, ER, UML, kanban, bar/line/radar charts - from structured input with Sugiyama auto-layout and CJK support. Reads and modifies .excalidraw files, exports SVG. Python, local, no API keys required.

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

A local Python MCP server for AI-assisted development of Yandex DataLens dashboards, enabling inspection, planning, validation, and guarded application of changes.

A Python-based MCP server providing mathematical computation tools and plotting utilities for a wide range of math topics including calculus, matrix operations, statistics, and more.

A local MCP server that enables AI assistants to control Origin/OriginPro on Windows via Python automation, with adaptive path detection to resolve import errors.

A local MCP server that enables agents to perform symbolic math, unit-aware physics calculations, numerical simulation, PDE solving, statistics, time-series and survival modeling, signal and wavelet analysis, optimization, plotting, data-file IO, and arbitrary Python execution. It exposes 65 fixed tools with a uniform JSON result envelope, writing large results and figures to a configurable local output directory.

twilize is a Model Context Protocol (MCP) server and Python toolkit for generating Tableau Desktop workbook files (.twb / .twbx) from code or AI-driven tool calls

Enables an AI assistant to inspect GDSII layouts and stackup files, validate model scripts without running them, and generate AWS Palace models locally, along with layout previews, gmsh visualisation, S-parameter summaries, and inductor/capacitor value extraction. It works on files in the user's own Python environment and disk, without invoking the Palace solver.

Enables Claude Code and other processes to control the lys interactive multi-dimensional data analysis and visualization platform by executing Python commands in it and viewing the resulting lys and matplotlib graphs. It connects over a local socket or TCP to a lys instance running in remote mode.

A virtual statistician MCP server that provides real statistical methods—design of experiments, hypothesis testing, regression, SPC, MSA—via tested Python libraries, with plain-language interpretations and plotted outputs.

MCP server for scientific computing with multiple backends (Mathematica, Octave, Python, R, SageMath, etc.) enabling mathematical computation and visualization through AI coding assistants.