Awesome/awesome-mcp-servers
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Fix entry name to owner/repo format, add Glama badge, fix sort order

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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -1021,12 +1021,12 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
- [Daichi-Kudo/llm-advisor-mcp](https://github.com/Daichi-Kudo/llm-advisor-mcp) [![Daichi-Kudo/llm-advisor-mcp MCP server](https://glama.ai/mcp/servers/Daichi-Kudo/llm-advisor-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Daichi-Kudo/llm-advisor-mcp) 📇 ☁️ 🍎 🪟 🐧 - Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required.
- [DataEval/dingo](https://github.com/DataEval/dingo) 🎖️ 🐍 🏠 🍎 🪟 🐧 - MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.
- [datalayer/jupyter-mcp-server](https://github.com/datalayer/jupyter-mcp-server) 🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter.
- [Disco](https://github.com/leap-laboratories/discovery-engine) [![smithery badge](https://smithery.ai/badge/discovery-engine)](https://smithery.ai/server/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.
- [growthbook/growthbook-mcp](https://github.com/growthbook/growthbook-mcp) 🎖️ 📇 🏠 🪟 🐧 🍎 — Tools for creating and interacting with GrowthBook feature flags and experiments.
- [gpartin/WaveGuardClient](https://github.com/gpartin/WaveGuardClient) [![WaveGuard MCP server](https://glama.ai/mcp/servers/WaveGuard/badges/score.svg)](https://glama.ai/mcp/servers/WaveGuard) 🐍 ☁️ 🍎 🪟 🐧 - Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.
- [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.
- [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) [![smithery badge](https://smithery.ai/badge/discovery-engine)](https://smithery.ai/server/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.
- [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`.