"Hugging: Exploration and Resources" matching MCP servers:

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.

Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

Provides MCP tools for scanning, redacting, and packaging dataset/model directories for public release, leveraging Presidio for PII detection and generating Hugging Face cards and EU AI Act training-data summaries.

Provides a stateful local Spark session for running PySpark and SQL cells, enabling local data exploration before deploying to Microsoft Fabric.

Provides GraphQL access to Airtable and Google Sheets data, enabling natural language queries for data exploration, schema introspection, and record management.

Production-ready MCP server that enables AI assistants to seamlessly interact with SAP Datasphere environments for real tenant data discovery, metadata exploration, analytics operations, ETL data extraction, database user management, data lineage analysis, and column-level data profiling.

It gives Claude Code, Cursor, and Codex structured workflows and an MCP server for building data pipelines with dlt - covering REST API ingestion, transformations, data quality, and exploration.

An MCP server for executing Malloy queries and managing Malloy resources.

Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

Enables users to interact with Cube's AI agent for real-time analytics and data exploration through a chat interface. It supports generating data visualizations, performing SQL queries, and analyzing trends using natural language.

Enables querying and analyzing blockchain data from Dune Analytics with Polars-optimized workflows, including schema discovery, Sui package exploration, and query management through natural language.

Read-only MCP server for ZenMoney that syncs financial data into memory and exposes it through tools and resources, enabling agentic analysis of transactions and spending patterns.

Enables access to ForexFactory economic calendar data through MCP resources and tools. Supports retrieving economic events by time periods for integration with trading assistants and agentic workflows.

Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.