# ChatBI

> Use this tool when you need to analyze and visualize data from CSV or Excel files using natural language queries, and generate Python code automatically for data exploration. ChatBI solves problems of manual coding and data interpretation, providing conversational access to spreadsheet data for business analysts and data scientists. It takes in natural language questions and dataset files as input, and outputs executable Python code and data visualizations, making it ideal for efficient data analysis and debugging.

Canonical page: https://skillsregistry.net/skills/chatbi  
JSON: https://api.skillsregistry.net/v1/skills/chatbi

## Description

ChatBI MCP Server provides intelligent data analysis capabilities by combining pandas DataFrame operations with OpenAI's language models to generate and execute Python code for data exploration and visualization. Built by Steven Luo, the implementation supports CSV and Excel file formats through specialized data accessors, automatically detects data structure and column types, and uses LLM-powered code generation with error correction to answer natural language questions about datasets. The server maintains execution history for debugging and includes configurable logging, making it valuable for business analysts and data scientists who want conversational access to their spreadsheet data without writing Python code manually.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chatbi)
- **Repository:** <https://github.com/steven-luo/chatbi-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chatbi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chatbi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chatbi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt