From 056a3503eb430585f561581a63cb76be686fe498 Mon Sep 17 00:00:00 2001
From: Haibin Yu <115338940+haiiibin@users.noreply.github.com>
Date: Fri, 10 Jul 2026 22:10:48 -0700
Subject: [PATCH] data-profiler-mcp: add pip install command to description
 (now on PyPI)

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 6a0c54a40..4ba68afa5 100644
--- a/README.md
+++ b/README.md
@@ -1351,7 +1351,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
 - [datalayer/jupyter-mcp-server](https://github.com/datalayer/jupyter-mcp-server) 🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter.
 - [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.
-- [haiiibin/data-profiler-mcp](https://github.com/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.
+- [haiiibin/data-profiler-mcp](https://github.com/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.
 - [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.