patsnap-scientific-translational-evidence

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

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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.

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Example Workflows

Translational Evidence Review

1. Search translational_medicine_search by target and disease.
2. Fetch full records with translational_medicine_fetch.
3. Synthesize biomarker and mechanism-of-action insights.

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Resources

• Patsnap Life Sciences: eureka.patsnap.com/ls-landing
• MCP Server: open.patsnap.com/marketplace/mcp-servers
• API Docs: open.patsnap.com/devportal