"pandas" matching MCP servers:

Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.

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.

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

Enables AI assistants to query, analyze, and discover FileMaker database schemas via OData v4, with pandas-powered analytics for efficient data summaries.

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

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

Enables querying CSV or Excel data using natural language through MCP tools, running pandas operations on an uploaded dataset.

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.

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.

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 accessing and querying Dutch government open datasets from CBS and data.overheid.nl, with tools for searching, filtering, downloading, and analyzing data using CSV, Parquet, DuckDB, or Pandas.

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.

Enables Claude and other MCP-compatible AI assistants to interact with a Donetick chores management instance, providing tools for chore management, label organization, and user management.

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.

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.

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.