The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.

Data Journalist Agent: Transforming Data into Verifiable Multimodal Story

MCP Database Server is a new MCP Server which helps connect with Sqlite, SqlServer and Posgresql Databases

Microsoft Dataverse skills for AI coding agents. Wraps the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI behind specialist skills for building, querying, deploying, and administering Dataverse environments.

Data API builder provides modern REST, GraphQL endpoints and MCP tools to your Azure Databases and on-prem stores.

Agent skill: Edward Tufte's data visualization principles for clean, honest, high-data-ink-ratio charts. Recharts, ECharts, Chart.js, matplotlib, Plotly, D3/SVG.

AI-native ClickHouse console for your cluster diagnostics and query generation, optimization and data visualization.

Production-ready PySpark ETL template for Databricks — medallion architecture, DABs, tests, DQX, CI/CD, and agentic development with Claude Code.

Governed, provenance-sealed creative rendering for Databricks — a Streamlit App + Unity Catalog ai_render() function that turns any governed source (Sample Lakehouse, UC, Genie, or BYO data) into infographics, reports, decks, video briefings, music, and podcasts.

Data Analytics skills for BigQuery

Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.

The U.S. Census Bureau Data API MCP connects AI Assistants with official Census Bureau statistics.

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

Production-grade Agent Skills for data engineering AI agents: 73 workflows, platform presets, safe backfill/replay, Kafka & Spark reliability, MCP observability, and VS Code/JetBrains installers.

US stock market data for AI coding assistants — zero-auth, official sources. CBOE options with full Greeks + 0DTE flow, FINRA market-wide short volume, SEC EDGAR filing stream, and a free market-wide screener. 13 layers, 30+ endpoints, 11 sources. Every source labeled with its compliance tier.

The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps

Twelve Data MCP (Model Context Protocol) Server provides seamless, real-time access to financial market data via WebSocket, enabling reliable streaming of price quotes, market metrics, and events directly into your applications.

Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into Claude Code, Cursor, and more.

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

Token-efficient MCP server for tabular data retrieval. Index CSV/Excel files, query rows, aggregate — 99%+ token savings vs raw file reads.

Workflow for AI Agents enables automated conversion of CAD files (such as `.rvt`, `.ifc`, `.dwg`) using command-line converters on a local Windows machine