From 9e7dfb7fb9da18726e96a17eab806a0f7716e7bd Mon Sep 17 00:00:00 2001 From: Senthil Ramasamy Date: Mon, 25 May 2026 14:37:30 +0000 Subject: [PATCH 1/2] Add lihtness/gnomon-mcp under Data Science Tools --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a58a33b32..c065c00e1 100644 --- a/README.md +++ b/README.md @@ -1129,6 +1129,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [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. - [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. +- [lihtness/gnomon-mcp](https://github.com/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`. - [mckinsey/vizro-mcp](https://github.com/mckinsey/vizro/tree/main/vizro-mcp) 🎖️ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards. - [optuna/optuna-mcp](https://github.com/optuna/optuna-mcp) 🎖️ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/). - [Whatsonyourmind/oraclaw](https://github.com/Whatsonyourmind/oraclaw) [![Whatsonyourmind/oraclaw MCP server](https://glama.ai/mcp/servers/Whatsonyourmind/oraclaw/badges/score.svg)](https://glama.ai/mcp/servers/Whatsonyourmind/oraclaw) 📇 ☁️ 🏠 🍎 🪟 🐧 - Decision intelligence MCP server with 19 algorithms (bandits, Monte Carlo, constraint optimization, forecasting, anomaly detection, risk analysis, graph algorithms), 12 MCP tools. Install via `npx -y @oraclaw/mcp-server`. From ababa9683461099d5222842fd8896879bb81d5f6 Mon Sep 17 00:00:00 2001 From: Senthil Ramasamy Date: Tue, 26 May 2026 12:07:04 +0000 Subject: [PATCH 2/2] Add Glama score badge per reviewer request --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c065c00e1..9781a687a 100644 --- a/README.md +++ b/README.md @@ -1129,7 +1129,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [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. - [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. -- [lihtness/gnomon-mcp](https://github.com/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`. - [mckinsey/vizro-mcp](https://github.com/mckinsey/vizro/tree/main/vizro-mcp) 🎖️ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards. - [optuna/optuna-mcp](https://github.com/optuna/optuna-mcp) 🎖️ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/). - [Whatsonyourmind/oraclaw](https://github.com/Whatsonyourmind/oraclaw) [![Whatsonyourmind/oraclaw MCP server](https://glama.ai/mcp/servers/Whatsonyourmind/oraclaw/badges/score.svg)](https://glama.ai/mcp/servers/Whatsonyourmind/oraclaw) 📇 ☁️ 🏠 🍎 🪟 🐧 - Decision intelligence MCP server with 19 algorithms (bandits, Monte Carlo, constraint optimization, forecasting, anomaly detection, risk analysis, graph algorithms), 12 MCP tools. Install via `npx -y @oraclaw/mcp-server`.