"pandas" matching MCP servers:

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

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.

Enables AI-powered business intelligence and data analysis using pandas and LLM code generation. Supports automated data processing, statistical analysis, and visualization creation through natural language interactions.

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.

Connects to Panda Video so assistants can upload, organize and configure videos, manage folders and playlists, read analytics and player settings, and generate subtitles, thumbnails and Shorts. Hosted with OAuth or API key authentication over Streamable HTTP, with a slimmer core-tool endpoint for chat clients.

Read-only MCP server providing access to Belarusian securities data: tokens, shares, bonds, companies, ticker search, and company name or UNP search.

Enables AI assistants to perform Japanese invoice and tax calculations, including consumption tax, withholding tax, invoice number validation, and invoice data generation, all locally without external APIs.

MCP server for querying PanDA documentation, analyzing job errors, and retrieving JSON data using multiple AI models.

An MCP server that turns your TrueNAS instance into tools, letting you manage disks, pools, apps, VMs, shares, and more from any MCP client.

Exposes the Panda-TAMP planning stack as tools via the Model Context Protocol, enabling natural language-driven goal grounding and closed-loop task and motion planning for a simulated Franka Panda robot.

A thin, stateless MCP routing layer that exposes a single Streamable HTTP endpoint and routes tool calls to upstream servers (e.g., Bamboo MCP, PanDA MCP) based on namespace prefixes, enabling unified access and tool catalog management.

Enables AI clients to access virome datasets and external bioinformatics APIs through MCP tools, including Wikipedia, PubMed, NCBI Taxonomy, read-only SQL over S3 Parquet, pandas/Plotly analyses, and map visualizations, while keeping the client decoupled from data and business logic.

Generates complete PyAirbyte data pipeline code and setup instructions for moving data between 600+ Airbyte source and destination connectors or to Pandas DataFrames, using AI-powered context-aware guidance based on connector documentation.

A serverless MCP (Model Context Protocol) implementation that can be deployed on Cloudflare Workers without authentication, allowing clients like Claude Desktop to connect to custom AI tools.

A FastAPI-integrated MCP server that provides mathematical operations like addition and multiplication using Pandas for data manipulation. It serves as a comprehensive example for implementing different tool registration patterns and real-time communication via Server-Sent Events.