# CHGIS MCP Server

> Use this tool when you need to query historical geographic data for China, solving problems related to researching and analyzing historical place names, administrative divisions, and geographical context. It takes inputs such as place ID, name, year, and administrative type, and outputs historical context and hierarchical relationships. Ideal for use in historical research, academic studies, and data analysis requiring accurate and detailed information on China's historical geography from 222 BCE to 1911 CE.

Canonical page: https://skillsregistry.net/skills/huajibing-chgis-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/huajibing-chgis-mcp-server

## Description

Enables querying of China Historical Geographic Information System (CHGIS) database for historical place names, administrative divisions, and geographical data from 222 BCE to 1911 CE. Supports searching by place ID, name, year, administrative type, and retrieving historical context and hierarchical relationships.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tirlc32kvf)
- **Repository:** <https://github.com/huajibing/CHGIS_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": "huajibing-chgis-mcp-server"
    }
  }
}
```

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

---
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
