"pandas" matching MCP servers:

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

Enables MCP clients to upload tabular datasets and run deterministic Pandas, NumPy, Excel/openpyxl, and automated EDA operations through registered tools.

A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.

A Model Context Protocol server providing mathematical and scientific computing capabilities via NumPy, pandas, SciPy, and Matplotlib, with 19 tools for linear algebra, statistics, numerical methods, data processing, and plotting.

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 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.

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.

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.

A spreadsheet and CSV analysis toolkit for AI agents that enables loading CSV files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas.

Provides advanced mathematical calculation capabilities including symbolic algebra, numerical computing, data analysis, and image processing through SymPy, NumPy, SciPy, and pandas integration.

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.

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.

An MCP server that calculates technical analysis indicators for stock tickers using yfinance and pandas-ta, providing real-time financial data and quantitative analysis tools for LLMs.

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

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.