Use when you need to connect to the SciGraph SCP server for OM (ontology for units of measurement, dimensions, and unit conversion/dimensional analysis) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Scanned 5/29/2026
Install via CLI
openskills install zjunlp/Skills---
name: scp-om
description: Use when you need to connect to the SciGraph SCP server for OM (ontology for units of measurement, dimensions, and unit conversion/dimensional analysis) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
---
# SCP-OM (SciGraph) MCP client
## What this SCP is
OM is an ontology for units of measurement. It provides standardized representations for units, dimensions, and related concepts, supporting scientific computation, data exchange, semantic integration, and scenarios requiring unit conversion and dimensional analysis.
## Connection info
- MCP server URL:
- `https://scp.intern-ai.org.cn/api/v1/mcp/37/SciGraph`
- Auth header:
- `SCP-HUB-API-KEY: {API-KEY}`
## Install
```bash
pip install mcp
```
## Configure (MCP config JSON)
```json
{
"mcpServers": {
"SciGraph": {
"type": "streamableHttp",
"description": "这是一款面向科学研究的统一知识查询服务,集成了化学、生物等多个学科领域的知识图谱数据,支持跨学科知识检索、实体关系查询、领域知识问答等操作",
"url": "https://scp.intern-ai.org.cn/api/v1/mcp/37/SciGraph",
"headers": {
"SCP-HUB-API-KEY": "{API-KEY}"
}
}
}
}
```
## Tools
### query_cypher
Execute a Cypher query and return JSON results.
Arguments:
- `cypher` (string, required)
- `kg_name` (string|null, optional, default `null`)
- `limit` (int, optional, default `100`)
Example arguments (OM):
```json
{
"cypher": "MATCH (e:Experiment:OM) RETURN e.id as experiment_id",
"kg_name": "OM",
"limit": 5
}
```
### get_kg_statistics
Return graph statistics.
Example arguments:
```json
{ "kg_name": "OM" }
```
### get_entity_details
Return entity details.
Example arguments:
```json
{ "entity_identifier": "experiment_1", "kg_name": "OM" }
```
### get_experiment_workflow
Return the full workflow of an experiment.
Example arguments:
```json
{ "experiment_id": "experiment_1" }
```
## Python example (streamable HTTP)
```python
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.session import ClientSession
SERVER_URL = "https://scp.intern-ai.org.cn/api/v1/mcp/37/SciGraph"
async def main():
transport = streamablehttp_client(
url=SERVER_URL,
headers={"SCP-HUB-API-KEY": "sk-xxx"},
)
read, write, get_session_id = await transport.__aenter__()
session_ctx = ClientSession(read, write)
session = await session_ctx.__aenter__()
await session.initialize()
# Example: stats for OM
result = await session.call_tool(
"get_kg_statistics",
arguments={"kg_name": "OM"},
)
data = json.loads(result.content[0].text)
print(data)
await session_ctx.__aexit__(None, None, None)
await transport.__aexit__(None, None, None)
if __name__ == "__main__":
asyncio.run(main())
```
## Citation
Keil, J. M., & Schindler, S. (2018). Comparison and evaluation of ontologies for units of measurement. *Semantic Web*, 10(1), 33–51. https://doi.org/10.3233/SW-180310
## Reference
For the full scraped page text, read:
- `references/source.md`
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