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Search scientific literature and research papers using FlowSearch to find relevant academic articles and publications.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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| name | scientific-literature-search |
| description | Search scientific literature and research papers using FlowSearch to find relevant academic articles and publications. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
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)}
Search and analyze scientific literature on a research topic.
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: Research query
prompt = "Analyze the latest trends in AI research for drug discovery"
## Execute literature search
result = await client.session.call_tool(
"FlowSearch",
arguments={
"prompt": prompt,
"file_list": None
}
)
data = client.parse_result(result)
if data.get('success'):
print("✅ Literature search completed")
print(f"\nResults:\n{data['result']}")
else:
print(f"❌ Search failed: {data.get('error', 'Unknown error')}")
await client.disconnect()
InternAgent Server:
FlowSearch: Search and analyze scientific literature
prompt (str): Research query or questionfile_list (list, optional): Additional files to analyzesuccess (bool): Search statusresult (str): Search results and analysis