| name | patsnap-scientific-translational-evidence |
| description | Patsnap Scientific & Translational Evidence MCP for AI agents. Retrieval platform focusing on scientific literature and translational outcomes, covering academic publication queries and translational medicine record tracking. |
| homepage | https://open.patsnap.com/marketplace/mcp-servers/scientific-translational-evidence |
| metadata | {"author":"Patsnap","category":"Life Science","version":"1.0.0","requires":{"mcp_endpoint":"https://connect.patsnap.com/9c333c/logic-mcp?apikey=YOUR_API_KEY"}} |
Setup
Get your API Key at https://open.patsnap.com
Patsnap Scientific & Translational Evidence
This skill connects your AI agent to Patsnap's Scientific & Translational Evidence MCP server — providing professional-grade life sciences intelligence.
Retrieval platform focusing on scientific literature and translational outcomes, covering academic publication queries and translational medicine record tracking.
Prerequisites
This skill requires the Patsnap Scientific & Translational Evidence MCP server to be configured in your environment:
{
"mcpServers": {
"scientific_translational_evidence": {
"url": "https://connect.patsnap.com/9c333c/logic-mcp?apikey=YOUR_API_KEY",
"type": "streamableHttp"
}
}
}
Get your API key at open.patsnap.com.
For the full list of available tools and input parameters, refer to the official MCP server documentation:
https://open.patsnap.com/marketplace/mcp-servers/scientific-translational-evidence
Instructions for AI Agents
Step 1: Normalize Entities First
Before executing any search or fetch operation, normalize targets, drugs, diseases, companies, and clinical trial IDs to Patsnap internal IDs when possible. This improves retrieval accuracy.
Step 2: Choose the Right Tool
Select search tools for discovery and corresponding _fetch tools for full records. Use vector search tools for natural-language evidence queries.
Step 3: Fetch Full Records
Search tools return summary results with IDs. Follow up with the appropriate _fetch tool when the user needs complete details.
Step 4: Synthesize and Structure Output
Lead with key findings, cite sources, highlight data gaps, and use tables for comparisons.
Example Workflows
Translational Evidence Review
- Search
translational_medicine_search by target and disease.
- Fetch full records with
translational_medicine_fetch.
- Synthesize biomarker and mechanism-of-action insights.
Resources
