Agent skill

Patsnap Pharma Intelligence

by patsnap in patsnap/mcp

Patsnap Pharma Intelligence MCP for AI agents. An agent skill from patsnap/mcp.

Apache-2.0Auto-check passedLegal & Compliance

Install Patsnap Pharma Intelligence

skills CLI
$ npx skills add patsnap/mcp --skill patsnap-pharma-intelligence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install patsnap/mcp patsnap-pharma-intelligence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/patsnap/mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/life-sciences/patsnap-pharma-intelligence .claude/skills/patsnap-pharma-intelligence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
patsnap-pharma-intelligence
GitHub stars
113
Token cost
~1.2k tokens
SKILL.md length
443 words
Files
2
Skills in repo
32
Repo updated
First seen
Licence
Apache-2.0

At a glance

Patsnap Pharma Intelligence MCP for AI agents. An agent skill from patsnap/mcp.

  • Works in 4 steps: Always Normalize Entities First → Choose the Right Tool for the Task → Fetch Full Records When Needed → …
  • Tasks that involve Intellectual property
  • SKILL.md covers Setup, Prerequisites, Instructions for AI Agents and Example Workflows, plus 1 more section
  • Reaches connect.patsnap.com

What it does

Patsnap Pharma Intelligence is an agent skill from patsnap/mcp. Patsnap Pharma Intelligence MCP for AI agents. Search clinical trials, drugs, patents, papers, deals, FDA labels and more via 28 specialized tools.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Legal & Compliance, covering Intellectual property, Clinical and healthcare research and MCP servers. It works with Model Context Protocol. The repository describes itself as: MCP server for 200M+ patents, scientific literature, chemistry and pharma records. Search prior art and R&D intelligence powered by PatSnap's proprietary databases via Claude… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Intellectual property
  • Tasks that involve Clinical and healthcare research
  • Tasks that involve MCP servers

Example prompts

  • “/patsnap-pharma-intelligence”

Requirements

  • A credential in YOUR_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Always Normalize Entities First
  2. Choose the Right Tool for the Task
  3. Fetch Full Records When Needed
  4. Synthesize and Structure Your Output

What it can do on your machine

Read from SKILL.md and the folder at commit 7a4b429. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • connect.patsnap.com

    Also links to:

    • open.patsnap.com
    • eureka.patsnap.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Patsnap Pharma Intelligence loads about 1.2k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 443 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from patsnap/mcp at commit 7a4b429, republished under its Apache-2.0 licence (© patsnap). 443 words, ~1,167 tokens.

Download SKILL.mdSave it as .claude/skills/patsnap-pharma-intelligence/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
patsnap-pharma-intelligence
description
Patsnap Pharma Intelligence MCP for AI agents. Search clinical trials, drugs, patents, papers, deals, FDA labels and more via 28 specialized tools.
homepage
https://open.patsnap.com/marketplace/mcp-servers/pharma-intelligence
metadata.author
Patsnap
metadata.category
Life Science
metadata.version
1.0.0

Setup

Get your API Key at https://open.patsnap.com

Patsnap Pharma Intelligence

This skill connects your AI agent to Patsnap's Pharma Intelligence MCP server — the most comprehensive pharmaceutical data layer available for AI agents.

With this skill, your agent gains the ability to perform professional-grade pharmaceutical research: from identifying drug targets and searching clinical trials, to analyzing licensing deals and reviewing FDA labels.

Prerequisites

This skill requires the Patsnap Pharma Intelligence MCP server to be configured in your environment:

json
{
  "mcpServers": {
    "pharma_intelligence": {
      "url": "https://connect.patsnap.com/096456/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: open.patsnap.com/marketplace/mcp-servers/pharma-intelligence


Instructions for AI Agents

Step 1: Always Normalize Entities First

Before executing any search or fetch operation, always call ls_ner_nor_normalize on the user's input text. This tool identifies and normalizes targets, drugs, diseases, companies, mechanisms of action (MoA), patent numbers, and clinical trial IDs — returning the internal IDs required by all downstream tools.

Do not skip this step. Raw user text must be resolved to Patsnap internal IDs for accurate retrieval.


Step 2: Choose the Right Tool for the Task

This MCP provides 28 tools organized across these domains:

  • Drug & Pipeline: search and fetch drug assets, licensing and collaboration deals
  • Clinical Trials: structured search, semantic search, and published results
  • Scientific Literature: paper search, vector search, and translational medicine
  • Patents & Regulatory: patent fetch, FDA label semantic search
  • Market & Epidemiology: disease data, HEOR, financial reports, epidemiology
  • Real-Time News: semantic news search and full article fetch

For the complete tool list and input parameters, see: open.patsnap.com/marketplace/mcp-servers/pharma-intelligence


Show full SKILL.md (189 more words)Show less
Step 3: Fetch Full Records When Needed

Search tools return summary results with IDs. When the user needs complete details, always follow up with the corresponding _fetch tool (e.g., after ls_drug_search, call ls_drug_fetch with the returned IDs).


Step 4: Synthesize and Structure Your Output

After retrieving data, present findings in a structured, professional format:

  • Lead with key findings: Summarize the most relevant results first
  • Cite sources: Always include drug names, trial IDs, paper titles, or patent numbers
  • Highlight gaps: If data is limited, acknowledge it and suggest alternative search strategies
  • Use tables for comparing multiple drugs, trials, or deals side by side

Example Workflows

Biomarker Investigation
  1. ls_ner_nor_normalize → extract target/disease entities
  2. ls_paper_search → find supporting academic evidence
  3. ls_clinical_trial_search → identify trials using this biomarker
  4. ls_patent_fetch → check IP landscape
Competitive Drug Landscape
  1. ls_ner_nor_normalize → normalize disease/target
  2. ls_drug_search → enumerate competing assets
  3. ls_drug_deal_search → identify recent BD activity
  4. ls_news_vector_search → surface latest developments
Target Intelligence
  1. ls_ner_nor_normalize → resolve target ID
  2. ls_drug_search → find all drugs modulating this target
  3. ls_paper_vector_search → retrieve mechanistic literature
  4. ls_clinical_trial_search → map clinical development activity

Resources

© patsnap, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in life-sciences/patsnap-pharma-intelligence of patsnap/mcp.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 7a4b429

Compare with similar skills

Patsnap Pharma Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Patsnap Pharma Intelligence compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Patsnap Pharma Intelligence this skillpatsnap/mcp113—~1.2kAutomated safety check: PassApache-2.0
Development AssistantRobThePCGuy/Claude-Patent-Creator196—~1.3kAutomated safety check: NotesMIT
Aminer MCP ResearchDrchronx/ai-agent-research-starter-kit139—~1.1kAutomated safety check: PassCustom licence
Tw Legal RAGaa0101181514/tw-legal-rag328—~580Automated safety check: PassCustom licence
Hcls Build Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~885Automated safety check: PassMIT-0
Prior Art Searchillusionaireal/oh-my-patent104—~1.8kAutomated safety check: PassMIT

Similar skills

  • Development Assistant

    RobThePCGuy/Claude-Patent-Creator

    Guides through adding new features, MCP tools, analyzers, and extending the patent creator system.

    196 GitHub stars~1.3k tokensUpdated 4 days ago
    Agent WorkflowsAuto-check: notes
  • Aminer MCP Research

    Drchronx/ai-agent-research-starter-kit

    Use AMiner MCP for academic knowledge graph tasks: scholar search, author profile lookup, institution or team analysis, paper and patent discovery, academic influence checks, and research trend…

    139 GitHub stars~1.1k tokensUpdated 4 mo ago
    Research & ScienceAuto-check passed
  • Tw Legal RAG

    aa0101181514/tw-legal-rag

    Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.

    328 GitHub stars~580 tokensUpdated 2 days ago
    Legal & ComplianceAuto-check passed
  • Hcls Build Agent

    aws-samples/amazon-bedrock-agents-healthcare-lifesciences

    Official

    A skill your agent uses when a developer wants to build a new healthcare or life sciences agent, structure tools and system prompts for an HCLS workflow, or create a Strands agent with…

    274 GitHub stars~885 tokensUpdated 9 days ago
    Research & ScienceAuto-check passed
  • Prior Art Search

    illusionaireal/oh-my-patent

    A skill your agent uses when searching patents and technical literature for prior art, novelty, or patentability assessment.

    104 GitHub stars~1.8k tokensUpdated yesterday
    Legal & ComplianceAuto-check passed
  • Mpep Search

    RobThePCGuy/Claude-Patent-Creator

    Expert system for searching USPTO MPEP, 35 USC statutes, 37 CFR regulations, and post-Jan 2024 updates.

    196 GitHub stars~978 tokensUpdated 4 days ago
    Legal & ComplianceAuto-check passed

More from patsnap/mcp

All 32 skills in this repo
  • Patsnap Patent Research MCP for AI agents. An agent skill from patsnap/mcp.

    113 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Patsnap TRIZ Concept Solution Engine MCP for AI agents. An agent skill from patsnap/mcp.

    113 GitHub stars~825 tokensUpdated 1 mo ago
    Auto-check passed
  • Patsnap TRIZ Case Library MCP for AI agents. An agent skill from patsnap/mcp.

    113 GitHub stars~885 tokensUpdated 1 mo ago
    Auto-check passed
  • Patsnap Workspace MCP for AI agents. An agent skill from patsnap/mcp.

    113 GitHub stars~777 tokensUpdated 1 mo ago
    Auto-check passed
  • Create or update Patsnap MCP catalog documentation in this repository.

    113 GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • Patsnap Advanced Patent Search MCP for AI agents. An agent skill from patsnap/mcp.

    113 GitHub stars~650 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Patsnap Pharma Intelligence

What does Patsnap Pharma Intelligence do?

Patsnap Pharma Intelligence MCP for AI agents. An agent skill from patsnap/mcp. Patsnap Pharma Intelligence is an agent skill from patsnap/mcp. Patsnap Pharma Intelligence MCP for AI agents.

When should I use Patsnap Pharma Intelligence?

Patsnap Pharma Intelligence fits situations like: tasks that involve Intellectual property; tasks that involve Clinical and healthcare research; tasks that involve MCP servers.

How do I install Patsnap Pharma Intelligence in Claude Code?

Run `npx skills add patsnap/mcp --skill patsnap-pharma-intelligence -a claude-code`. Or copy the skill folder (life-sciences/patsnap-pharma-intelligence in patsnap/mcp) into .claude/skills/patsnap-pharma-intelligence in your project. Claude Code loads it when a task matches its description.

How do I install Patsnap Pharma Intelligence in Codex?

Run `npx skills add patsnap/mcp --skill patsnap-pharma-intelligence -a codex`. Or copy the skill folder (life-sciences/patsnap-pharma-intelligence in patsnap/mcp) into .agents/skills/patsnap-pharma-intelligence in your project. Codex loads it when a task matches its description.

Can I use Patsnap Pharma Intelligence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add patsnap/mcp --skill patsnap-pharma-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/patsnap-pharma-intelligence, .gemini/skills/patsnap-pharma-intelligence, .github/skills/patsnap-pharma-intelligence and .opencode/skills/patsnap-pharma-intelligence in your project.

What does Patsnap Pharma Intelligence need to run?

SKILL.md names no scripts, command-line tools or credentials: Patsnap Pharma Intelligence is instructions for the agent only. Our summary lists: A credential in YOUR_API_KEY.

Does Patsnap Pharma Intelligence access the network?

SKILL.md names 3 domains. In commands or code: connect.patsnap.com; the agent is likely to contact it when it follows the instructions. As links in the text: open.patsnap.com and eureka.patsnap.com. This is read from the text; nothing was executed.

Is Patsnap Pharma Intelligence safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Patsnap Pharma Intelligence use?

Patsnap Pharma Intelligence is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Patsnap Pharma Intelligence use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Patsnap Pharma Intelligence?

Skills that share tags, products or a category with Patsnap Pharma Intelligence: Development Assistant (RobThePCGuy/Claude-Patent-Creator, 196 stars), Aminer MCP Research (Drchronx/ai-agent-research-starter-kit, 139 stars), Tw Legal RAG (aa0101181514/tw-legal-rag, 328 stars) and Hcls Build Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Patsnap Pharma Intelligence?

patsnap (a GitHub organization) maintains it in patsnap/mcp, which has 113 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on August 20, 2026.

Source: patsnap/mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.