# 2025 Tax Law Amendment MCP Server

> Use this tool when you need to quickly search and query specific information from the 2025 Korean tax law amendment documents using natural language. It solves problems of manual document searching and information retrieval, providing efficient document indexing and retrieval capabilities. Ideal for use cases where rapid access to tax law information is required, it takes natural language inputs and returns relevant document excerpts and information.

Canonical page: https://skillsregistry.net/skills/cheolminbae-mcp-server-sample  
JSON: https://api.skillsregistry.net/v1/skills/cheolminbae-mcp-server-sample

## Description

Enables users to search and query information from the 2025 Korean tax law amendment PDF documents using natural language. Provides document indexing and retrieval capabilities through ChromaDB vector storage and LangChain integration.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/od2tptytt6)
- **Repository:** <https://github.com/CheolMinBae/mcp-server-sample>

## 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": "cheolminbae-mcp-server-sample"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cheolminbae-mcp-server-sample` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cheolminbae-mcp-server-sample/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
