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961 skills in "data"

πŸ”Œ MCP
Bright-L01/networkx-mcp-server
🐍 🏠 - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization.
πŸ”Œ MCP
clouatre-labs/math-mcp-learning-server
🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - Educational MCP server for math operations, statistics, visualization, and persistent workspaces. Built with FastMCP 2.0.
πŸ”Œ MCP
kdqed/zaturn
🐍 🏠 πŸͺŸ 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
πŸ”Œ MCP
mckinsey/vizro-mcp
πŸŽ–οΈ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards.
πŸ”Œ MCP
pramod/kaggle
🐍 - This Kaggle MCP Server makes Kaggle more accessible by letting you browse competitions, leaderboards, models, datasets, and kernels directly within MCP, streamlining discovery for data scientists and developers.
πŸ”Œ MCP
reading-plus-ai/mcp-server-data-exploration
🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
πŸ”Œ MCP
KyuRish/mcp-dashboards
[![mcp-dashboards MCP server](https://glama.ai/mcp/servers/@KyuRish/mcp-dashboards/badges/score.svg)](https://glama.ai/mcp/servers/@KyuRish/mcp-dashboards) πŸ“‡ 🏠 🍎 πŸͺŸ 🐧 - 45+ interactive chart types (bar, line, pie, candlestick, sankey, geo, radar, funnel, treemap, and more), dashboards with KPI cards,
πŸ”Œ MCP
Ratnaditya-J/csvglow
[![csvglow MCP server](https://glama.ai/mcp/servers/Ratnaditya-J/csvglow/badges/score.svg)](https://glama.ai/mcp/servers/Ratnaditya-J/csvglow) 🐍 🏠 🍎 πŸͺŸ 🐧 - Generate beautiful self-contained HTML dashboards from CSV/Excel files with interactive ECharts visualizations, dark gradient theme, and sortable
πŸ”Œ MCP
nteract/semiotic
[![nteract/semiotic MCP server](https://glama.ai/mcp/servers/nteract/semiotic/badges/score.svg)](https://glama.ai/mcp/servers/nteract/semiotic) πŸ“‡ 🏠 🍎 πŸͺŸ 🐧 - React data visualization MCP server with 30+ chart types. 5 tools: suggest charts for a dataset, render validated React configs to SVG, diagnose
πŸ”Œ MCP
JamesANZ/evm-mcp
πŸ“‡ ☁️ - An MCP server that provides complete access to Ethereum Virtual Machine (EVM) JSON-RPC methods. Works with any EVM-compatible node provider including Infura, Alchemy, QuickNode, local nodes, and more.
πŸ”Œ MCP
kukapay/bitcoin-utxo-mcp
🐍 ☁️ - An MCP server that tracks Bitcoin's Unspent Transaction Outputs (UTXO) and block statistics.
πŸ”Œ MCP
isnow890/naver-search-mcp
πŸ“‡ ☁️ - MCP server for Naver Search API integration, supporting blog, news, shopping search and DataLab analytics features.
πŸ”Œ MCP
kehvinbehvin/json-mcp-filter
️🏠 πŸ“‡ – Stop bloating your LLM context. Query & Extract only what you need from your JSON files.
πŸ”Œ MCP
lfnovo/content-core
🐍 🏠 - Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
⭐ GitHub
CSV-AI 🧠
CSV-AI is the ultimate app powered by LangChain that allows you to unlock hidden insights in your CSV files.
⭐ GitHub
Robby-Chatbot
AI chatbot πŸ€– for chat with CSV, PDF, TXT files πŸ“„ and YTB videos πŸŽ₯ | using Langchain🦜 | OpenAI | Streamlit ⚑.
⭐ GitHub
rapaio
statistics, data mining and machine learning toolbox in Java.
πŸ”Œ MCP
danmartuszewski/hop
🏎️ πŸ–₯️ - Fast SSH connection manager with TUI dashboard and MCP server for discovering, searching, and executing commands on remote hosts.
πŸ”§ Dify
Gitee Ai (Dify)
Gitee AI is a suite of AI-powered tools integrated within the Gitee platform, designed to boost developer productivity. After installing the plugin, configure the API key within the Model Provider settings. Obtain your API key from [here](https://ai.gitee.com/dashboard/settings/tokens). Once saved, you can begin using Gitee AI to build your AI agents and agentic workflows.
πŸ”Œ MCP
kukapay/hyperliquid-info-mcp
🐍 ☁️ - An MCP server that provides real-time data and insights from the Hyperliquid perp DEX for use in bots, dashboards, and analytics.
πŸ”Œ MCP
SidneyBissoli/ibge-br-mcp
πŸ“‡ ☁️ - Brazilian Census Bureau (IBGE) data server with 23 tools for demographics, geography, economics, and statistics. Covers localities, SIDRA tables, Census data, population projections, and geographic meshes.
πŸ”Œ MCP
jordandalton/restcsv-mcp-server
πŸ“‡ ☁️ - An MCP server for CSV files.
πŸ”Œ MCP
arrismo/kaggle-mcp
🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
πŸ”Œ MCP
IndigoProtocol/indigo-mcp
[![indigo-mcp MCP server](https://glama.ai/mcp/servers/IndigoProtocol/indigo-mcp/badges/score.svg)](https://glama.ai/mcp/servers/IndigoProtocol/indigo-mcp) πŸ“‡ ☁️ 🏠 - MCP server for Indigo Protocol on Cardano β€” iAsset prices, CDP/loan analytics, stability pools, INDY staking, governance, and DEX data
πŸ”Œ MCP
zcaceres/fetch-mcp
πŸ“‡ 🏠 - An MCP server to flexibly fetch JSON, text, and HTML data
πŸ”Œ MCP
abhiphile/fermat-mcp
🐍 🏠 🍎 πŸͺŸ 🐧 - The ultimate math engine unifying SymPy, NumPy & Matplotlib in one powerful server. Perfect for developers & researchers needing symbolic algebra, numerical computing, and data visualization.
πŸ”Œ MCP
dev-mirzabicer/ticktick-sdk
🐍 ☁️ - Comprehensive async Python SDK for [TickTick](https://ticktick.com/) with MCP server support. Features 45 tools for tasks, projects, tags, habits, focus/pomodoro sessions, and user analytics.
⭐ GitHub
JSON Mode
Specifying that an LLM must generate valid JSON. Depending on the provider, a schema may or may not be specified and the LLM may create an unexpected schema.
⭐ GitHub
Quicksense
Expert in QlikSense scripting, data visualization by [@h4k44n](https://github.com/h4k44n)
⭐ GitHub
Recipe Builder
Create a JSON β€˜recipe’, which defines the climate within your greenhouse by [MARSfarm_Corporation](https://community.openai.com/u/MARSfarm_Corporation)
⭐ GitHub
My Excellent Classmates (Help with My Homework!)
Excellent classmates to help with homework, providing patient guidance and support.
⭐ GitHub
Stats and ML Helper
A GPT that can help understand both simple and complex Statistics and Machine Learning concepts by [@pak0vskiy](https://github.com/pak0vskiy)
⭐ GitHub
Programaci-on/off
Programming Activity Evaluator by [Carlos Santana Vega](https://x.com/DotCSV/)
⭐ GitHub
Brain Analyser
AI assistant for neural data analysis by [Sarah Hamburg](https://www.linkedin.com/in/sarah-hamburg-9510a910a/)
⭐ GitHub
Excel Maestro
Expert in Excel formulas, charting, pivot tables, and data organization, providing tailored guidance and efficient solutions by [S.J](https://github.com/noname2312)
⭐ GitHub
Seat Seeker GPT
Seat Seeker excels in efficiently assisting users to find public seating with specific amenities, using their approximate location by [@HeyitsRadinn](https://github.com/HeyitsRadinn)
⭐ GitHub
H2O
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
⭐ GitHub
DataMelt
Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.
⭐ GitHub
stdlib
A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
⭐ GitHub
simple-statistics
A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
⭐ GitHub
randomkit
Numpy's randomkit, wrapped for Torch. **[Deprecated]**
⭐ GitHub
torch-datasets
Scripts to load several popular datasets including:
⭐ GitHub
Atari2600
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
⭐ GitHub
imutils
A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
⭐ GitHub
Map/Reduce implementations of common ML algorithms
Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark.
⭐ GitHub
machine learning
automated build consisting of a [web-interface](https://github.com/jeff1evesque/machine-learning#web-interface), and set of [programmatic-interface](https://github.com/jeff1evesque/machine-learning#programmatic-interface) API, for support vector machines. Corresponding dataset(s) are stored into a S
⭐ GitHub
InterpretML
InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box explanations.
⭐ GitHub
Orange
Open source data visualization and data analysis for novices and experts.
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