---
name: scientific-literature-search-132771985813
description: Search scientific literature and research papers using FlowSearch to find relevant academic articles and publications.
license: MIT license
metadata:
    skill-author: PJLab
---

# Scientific Literature Search

## Usage

### 1. MCP Server Definition

```python
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)}
```

### 2. Literature Search Workflow

Search and analyze scientific literature on a research topic.

**Workflow Steps:**

1. **Define Query** - Specify research question or topic
2. **Execute Search** - Query scientific databases
3. **Analyze Results** - Extract key findings and trends

**Implementation:**

```python
## 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()
```

### Tool Descriptions

**InternAgent Server:**
- `FlowSearch`: Search and analyze scientific literature
  - Args:
    - `prompt` (str): Research query or question
    - `file_list` (list, optional): Additional files to analyze
  - Returns:
    - `success` (bool): Search status
    - `result` (str): Search results and analysis

### Use Cases

- Literature review for research papers
- Trend analysis in scientific fields
- Systematic literature searches
- Citation and reference discovery
- Research gap identification

### Performance Notes

- **Execution time**: 10-60 seconds depending on query complexity
- **Data sources**: Multiple scientific databases
- **Output**: Comprehensive analysis with key findings


---
Source attribution: InternScience
Original project: https://github.com/InternScience/scp/blob/cea5398564032aea65a78e246d06c30ae945e03f/skills/scientific-literature-search/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2024 Anthropic, PBC

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: InternScience
Original project: https://github.com/InternScience/scp/blob/cea5398564032aea65a78e246d06c30ae945e03f/skills/scientific-literature-search/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Education & Research, Product Management
Roles: Academic Writer, Data Analyst, Market Research Analyst, Product Manager, Researcher
Specialties: API
Tools: Flowsearch
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: cc5e98530685ea3e78e14769f428153eb781019a19ae432af637859c739d722f