Perform meta-analysis on scientific studies to synthesize research findings and generate comprehensive reports with statistical summaries.
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class InternAgentClient:
"""InternAgent MCP Client"""
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
try:
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
return json.loads(content.text)
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
Synthesize multiple studies to generate comprehensive research insights.
Workflow Steps:
Implementation:
## Initialize client
client = InternAgentClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Input: Meta-analysis query
prompt = "Analyze the effectiveness of mRNA vaccines against COVID-19"
report_type = "table" # or "comprehensive"
## Execute meta-analysis
result = await client.session.call_tool(
"MetaAnalysis",
arguments={
"prompt": prompt,
"file_list": None,
"type": report_type
}
)
data = client.parse_result(result)
if 'final_report' in data:
print("✅ Meta-analysis completed")
print(f"Task ID: {data.get('task_id', 'N/A')}")
final_report = data['final_report']
print(f"\nReport Type: {final_report.get('type', 'N/A')}")
print(f"\nContent:\n{final_report.get('content', 'N/A')}")