Use when you need to connect to the SciGraph SCP server for RNA-KG (RNA-centered heterogeneous biomedical knowledge graph with contextual properties for RNA interaction contexts) 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.
RNA-KG is an RNA-centered heterogeneous biomedical knowledge graph. It combines standard entity–relationship modeling with contextual properties to capture the specific biological contexts in which RNA interactions occur, addressing the common “disconnection from context” issue in biomedical datasets.
https://scp.intern-ai.org.cn/api/v1/mcp/37/SciGraphSCP-HUB-API-KEY: {API-KEY}pip install mcp
{
"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}"
}
}
}
}
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 (RNA-KG):
{
"cypher": "MATCH (e:Experiment:RNA-KG) RETURN e.id as experiment_id",
"kg_name": "RNA-KG",
"limit": 5
}
Return graph statistics.
Example arguments:
{ "kg_name": "RNA-KG" }
Return entity details.
Example arguments:
{ "entity_identifier": "experiment_1", "kg_name": "RNA-KG" }
Return the full workflow of an experiment.
Example arguments:
{ "experiment_id": "experiment_1" }
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 RNA-KG
result = await session.call_tool(
"get_kg_statistics",
arguments={"kg_name": "RNA-KG"},
)
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())
Cavalleri, E., Cabri, A., Soto-Gomez, M. et al. An ontology-based knowledge graph for representing interactions involving RNA molecules. Sci Data 11, 906 (2024). https://doi.org/10.1038/s41597-024-03673-7
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