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@@ -1860,6 +1860,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
 - [jjsantos01/jupyter-notebook-mcp](https://github.com/jjsantos01/jupyter-notebook-mcp) 🐍 🏠 - Interact with and control Jupyter Notebooks.
 - [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) 📇 ☁️ - QUBO/Ising optimization with classical, hybrid and quantum solvers, paid per call via x402 (USDC on Base).
 - [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet and more) and analyze the data for insights and visualizations.
+- [Kungie/gut](https://github.com/Kungie/gut) [![Kungie/gut MCP server](https://glama.ai/mcp/servers/Kungie/gut/badges/score.svg)](https://glama.ai/mcp/servers/Kungie/gut) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Judgment calls on small, cheap models: yes/no, pick-one and rate questions about any text, answered YES, NO or UNSURE. Runs on TypeSafe's Jev, open models on Ollaya, Ollama or a local NLI model; `each` judges up to 1,000 texts per call.
 - [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) 🐍 ☁️ - Exploratory data analysis that finds feature interactions and subgroup effects, with p-values, effect sizes and literature citations.
 - [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 date, math and unit tools: time snapshots, calendar math with natural-language parsing, expression evaluation and Pint-based unit conversion.
 - [mckinsey/vizro-mcp](https://github.com/mckinsey/vizro/tree/main/vizro-mcp) 🎖️ 🐍 🏠 - Create validated, maintainable data charts and dashboards with Vizro tools and templates.