# Mcp Server Data Exploration

> MCP server from reading-plus-ai/mcp-server-data-exploration.

- **Type:** MCP server
- **Install:** `agentstack add mcp-reading-plus-ai-mcp-server-data-exploration`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [reading-plus-ai](https://agentstack.voostack.com/s/reading-plus-ai)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [reading-plus-ai](https://github.com/reading-plus-ai)
- **Source:** https://github.com/reading-plus-ai/mcp-server-data-exploration

## Install

```sh
agentstack add mcp-reading-plus-ai-mcp-server-data-exploration
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# MCP Server for Data Exploration

MCP Server is a versatile tool designed for interactive data exploration.

Your personal Data Scientist assistant, turning complex datasets into clear, actionable insights.

## 🚀 Try it Out

1. **Download Claude Desktop**
   - Get it [here](https://claude.ai/download)

2. **Install and Set Up**
   - On macOS, run the following command in your terminal:
   ```bash
   python setup.py
   ```

3. **Load Templates and Tools**
   - Once the server is running, wait for the prompt template and tools to load in Claude Desktop.

4. **Start Exploring**
   - Select the explore-data prompt template from MCP
   - Begin your conversation by providing the required inputs:
     - `csv_path`: Local path to the CSV file
     - `topic`: The topic of exploration (e.g., "Weather patterns in New York" or "Housing prices in California")

## Examples

These are examples of how you can use MCP Server to explore data without any human intervention.

### Case 1: California Real Estate Listing Prices
- Kaggle Dataset: [USA Real Estate Dataset](https://www.kaggle.com/datasets/ahmedshahriarsakib/usa-real-estate-dataset)
- Size: 2,226,382 entries (178.9 MB)
- Topic: Housing price trends in California

[](https://www.youtube.com/watch?v=RQZbeuaH9Ys)
- [Data Exploration Summary](https://claude.site/artifacts/058a1593-7a14-40df-bf09-28b8c4531137)

### Case 2: Weather in London
- Kaggle Dataset: [2M+ Daily Weather History UK](https://www.kaggle.com/datasets/jakewright/2m-daily-weather-history-uk/data)
- Size: 2,836,186 entries (169.3 MB)
- Topic: Weather in London
- Report: [View Report](https://claude.site/artifacts/601ea9c1-a00e-472e-9271-3efafb8edede)
- Graphs:
  - [London Temperature Trends](https://claude.site/artifacts/9a25bc1e-d0cf-498a-833c-5179547ee268)

  - [Temperature-Humidity Relationship by Season](https://claude.site/artifacts/32a3371c-698d-48e3-b94e-f7e88ce8093d)

  - [Wind Direction Pattern by Season](https://claude.site/artifacts/32a3371c-698d-48e3-b94e-f7e88ce8093d)

## 📦 Components

### Prompts
- **explore-data**: Tailored for data exploration tasks

### Tools
1. **load-csv**
   - Function: Loads a CSV file into a DataFrame
   - Arguments:
     - `csv_path` (string, required): Path to the CSV file
     - `df_name` (string, optional): Name for the DataFrame. Defaults to df_1, df_2, etc., if not provided

2. **run-script**
   - Function: Executes a Python script
   - Arguments:
     - `script` (string, required): The script to execute

## ⚙️ Modifying the Server

### Claude Desktop Configurations
- macOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%/Claude/claude_desktop_config.json`

### Development (Unpublished Servers)
```json
"mcpServers": {
  "mcp-server-ds": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/username/src/mcp-server-ds",
      "run",
      "mcp-server-ds"
    ]
  }
}
```

### Published Servers
```json
"mcpServers": {
  "mcp-server-ds": {
    "command": "uvx",
    "args": [
      "mcp-server-ds"
    ]
  }
}
```

## 🛠️ Development

### Building and Publishing
1. **Sync Dependencies**
   ```bash
   uv sync
   ```

2. **Build Distributions**
   ```bash
   uv build
   ```
   Generates source and wheel distributions in the dist/ directory.

3. **Publish to PyPI**
   ```bash
   uv publish
   ```

## 🤝 Contributing

Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.

### Reporting Issues
If you encounter bugs or have suggestions, open an issue in the issues section. Include:
- Steps to reproduce (if applicable)
- Expected vs. actual behavior
- Screenshots or error logs (if relevant)

## 📜 License

This project is licensed under the MIT License.
See the LICENSE file for details.

## 💬 Get in Touch

Questions? Feedback? Open an issue or reach out to the maintainers. Let's make this project awesome together!

## About

This is an open source project run by [ReadingPlus.AI LLC](https://readingplus.ai). and open to contributions from the entire community.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [reading-plus-ai](https://github.com/reading-plus-ai)
- **Source:** [reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-reading-plus-ai-mcp-server-data-exploration
- Seller: https://agentstack.voostack.com/s/reading-plus-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.