"pandas" matching MCP servers:

Enables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through the Model Context Protocol.

Enables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through MCP protocol.

A research-informed MCP server that enables natural language question answering over local dataframes (CSV, Parquet, or Pandas) with safe, read-only execution and typed analysis plans.

Provides comprehensive access to EnergyPlus building energy simulation results, enabling discovery, analysis, and extraction of data from epJSON, SQL, and HTML files through MCP tools with pandas integration.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

MCP server that provides a persistent IPython kernel for executing Python code with pre-loaded numpy, pandas, and matplotlib, supporting stateful computation and inline visualizations.

MCP server that drives EViews econometrics software from Python or LLM clients via COM automation, enabling workfile creation, model estimation, diagnostics, and data exchange with pandas.

MCP server for querying the Kaggle 'All Natural Disasters 1900-2021 / EOSDIS' CSV dataset via pandas, exposing search and statistics tools.

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.

An MCP server for chDB, the in-process SQL OLAP engine powered by ClickHouse. Lets agents query Parquet, CSV, JSON, and pandas DataFrames with one tool — no separate server, no Docker.

Enables AI assistants to perform Japanese business calendar calculations including holiday detection, business day arithmetic, payment date settlement, and deadline management using local data.

Enables natural language control of the Gopeed download manager from VS Code Copilot Chat, including creating, listing, pausing, resuming, and deleting download tasks, as well as viewing and updating Gopeed configuration.

A-share realtime stock data MCP server: NATS-pushed quotes, Level-2, DDX large orders, fund flows, and AI stock screening for Shanghai/Shenzhen/Beijing markets. 176 server-side endpoints with 22 open tools that work out of the box via a free public test account (pandastock / pandastock).

A FastMCP server for natural language data analysis that allows users to load CSV files, execute Python code with pandas and numpy, and generate matplotlib visualizations. It provides a suite of tools for data exploration, statistical summaries, and querying datasets through MCP-compatible clients.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables GUI automation by executing Python code with instrumented pyautogui, providing MCP-friendly output and inline screenshot delivery.

Enables AI coding assistants to scan, review, and explain AI, agent, and MCP security issues, run AISVS verification, and access OWASP-anchored standards controls from the IDE via stdio.

Analyzes user-authorized CSV, JSON, or XLSX comment exports locally to generate risk signals, prioritized comments, evidence-backed actions, and reports while keeping data private.

Turns a comma.ai Panda into a conversational CAN reverse-engineering rig, allowing users to record, diff, find signals, and send frames through natural language with Claude.

Exposes internal tools from agent harnesses (Claude Code, Codex, etc.) as a standard MCP server by intercepting LLM API calls.