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Frank Fiegel
2026-08-29 15:00:32 -06:00
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@@ -1589,7 +1589,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
- [haiiibin/data-profiler-mcp](https://github.com/haiiibin/data-profiler-mcp) [![haiiibin/data-profiler-mcp MCP server](https://glama.ai/mcp/servers/haiiibin/data-profiler-mcp/badges/score.svg)](https://glama.ai/mcp/servers/haiiibin/data-profiler-mcp) 🐍 🏠 🍎 🪟 🐧 - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a data-quality audit (missing values, duplicates, mixed types, outliers), and memory-saving dtype suggestions. Pure Python (pandas); files are read locally and nothing leaves your machine. `pip install data-profiler-mcp`. - [haiiibin/data-profiler-mcp](https://github.com/haiiibin/data-profiler-mcp) [![haiiibin/data-profiler-mcp MCP server](https://glama.ai/mcp/servers/haiiibin/data-profiler-mcp/badges/score.svg)](https://glama.ai/mcp/servers/haiiibin/data-profiler-mcp) 🐍 🏠 🍎 🪟 🐧 - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a data-quality audit (missing values, duplicates, mixed types, outliers), and memory-saving dtype suggestions. Pure Python (pandas); files are read locally and nothing leaves your machine. `pip install data-profiler-mcp`.
- [HumanSignal/label-studio-mcp-server](https://github.com/HumanSignal/label-studio-mcp-server) 🎖️ 🐍 ☁️ 🪟 🐧 🍎 - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows. - [HumanSignal/label-studio-mcp-server](https://github.com/HumanSignal/label-studio-mcp-server) 🎖️ 🐍 ☁️ 🪟 🐧 🍎 - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.
- [jjsantos01/jupyter-notebook-mcp](https://github.com/jjsantos01/jupyter-notebook-mcp) 🐍 🏠 - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks. - [jjsantos01/jupyter-notebook-mcp](https://github.com/jjsantos01/jupyter-notebook-mcp) 🐍 🏠 - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
- [jonahthan433/cortexcloud-mcp](https://github.com/jonahthan433/cortexcloud-mcp) 📇 ☁️ - Pay-per-call QUBO/Ising optimization for AI agents: estimate free, solve per run (classical $0.05, hybrid $0.10, quantum $0.85) via x402 (USDC on Base). No API keys. Remote Streamable HTTP at https://api.cortexcloud.org/mcp. - [jonahthan433/cortexcloud-mcp](https://github.com/jonahthan433/cortexcloud-mcp) [![jonahthan433/cortexcloud-mcp MCP server](https://glama.ai/mcp/servers/jonahthan433/cortexcloud-mcp/badges/score.svg)](https://glama.ai/mcp/servers/jonahthan433/cortexcloud-mcp) 📇 ☁️ - Pay-per-call QUBO/Ising optimization for AI agents: estimate free, solve per run (classical $0.05, hybrid $0.10, quantum $0.85) via x402 (USDC on Base). No API keys. Remote Streamable HTTP at https://api.cortexcloud.org/mcp.
- [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations. - [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
- [leap-laboratories/discovery-engine](https://github.com/leap-laboratories/discovery-engine) [![leap-laboratories/discovery-engine MCP server](https://glama.ai/mcp/servers/leap-laboratories/discovery-engine/badges/score.svg)](https://glama.ai/mcp/servers/leap-laboratories/discovery-engine) 🐍 ☁️ - Superhuman exploratory data analysis that finds the feature interactions and subgroup effects that LLMs and manual exploration miss — with p-values, effect sizes, and literature citations. Data goes in, validated insights come out. Free for public data. - [leap-laboratories/discovery-engine](https://github.com/leap-laboratories/discovery-engine) [![leap-laboratories/discovery-engine MCP server](https://glama.ai/mcp/servers/leap-laboratories/discovery-engine/badges/score.svg)](https://glama.ai/mcp/servers/leap-laboratories/discovery-engine) 🐍 ☁️ - Superhuman exploratory data analysis that finds the feature interactions and subgroup effects that LLMs and manual exploration miss — with p-values, effect sizes, and literature citations. Data goes in, validated insights come out. Free for public data.
- [lihtness/gnomon-mcp](https://github.com/lihtness/gnomon-mcp) [![lihtness/gnomon-mcp MCP server](https://glama.ai/mcp/servers/lihtness/gnomon-mcp/badges/score.svg)](https://glama.ai/mcp/servers/lihtness/gnomon-mcp) 🐍 🏠 🍎 🪟 🐧 - Deterministic batch tools so LLM agents stop next-token-guessing dates and math. Rich `now()` snapshot (18 fields), `calendar(ops)` batch dispatcher (diff/until/since/add/weekday/business_days, natural-language parsing), `calc(expressions)` Python eval with math+stats pre-loaded, and Pint-based unit conversion. One wiring for dates + math + units. Listed in the official MCP Server Registry. `uvx gnomon-mcp`. - [lihtness/gnomon-mcp](https://github.com/lihtness/gnomon-mcp) [![lihtness/gnomon-mcp MCP server](https://glama.ai/mcp/servers/lihtness/gnomon-mcp/badges/score.svg)](https://glama.ai/mcp/servers/lihtness/gnomon-mcp) 🐍 🏠 🍎 🪟 🐧 - Deterministic batch tools so LLM agents stop next-token-guessing dates and math. Rich `now()` snapshot (18 fields), `calendar(ops)` batch dispatcher (diff/until/since/add/weekday/business_days, natural-language parsing), `calc(expressions)` Python eval with math+stats pre-loaded, and Pint-based unit conversion. One wiring for dates + math + units. Listed in the official MCP Server Registry. `uvx gnomon-mcp`.