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mcp-cortellis

Cortellis MCP Server

An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Perfect for competitive intelligence and pharmaceutical market research.

Features

  • 🔍 Drug Search: Search by indication, phase, company, and development status
  • 🧬 Ontology Exploration: Navigate standardized medical terminology and drug classifications
  • 🛠 Developer-Friendly: Clear documentation and easy integration with AI assistants
  • 🔐 Secure Authentication: Base64 token-based authentication for API access

Quick Start

Installation

# Using pip pip install cortellis-mcp # Or for development git clone https://github.com/uh-joan/mcp-cortellis.git cd mcp-cortellis python -m venv venv source venv/bin/activate # On Unix/macOS pip install -e .

Authentication Setup

The server uses a base64-encoded authentication token that combines your Cortellis username and password in the format username:password. This token must be provided in the CORTELLIS_AUTH environment variable.

To generate your token:

# On Unix/macOS echo -n "your_username:your_password" | base64 # On Windows PowerShell [Convert]::ToBase64String([Text.Encoding]::UTF8.GetBytes("your_username:your_password"))

Set up your environment:

  1. Copy .env.example to .env
  2. Replace your_base64_token with your generated token:
# In .env file CORTELLIS_AUTH=your_base64_token # e.g., dXNlcm5hbWU6cGFzc3dvcmQ= MCP_WEBSOCKET=true MCP_PORT=8765

IDE Integration

{ "mcps": { "cortellis": { "command": ["python"], "args": ["-m", "cortellis_mcp"], "env": { "CORTELLIS_AUTH": "your_base64_token", "MCP_WEBSOCKET": "true", "MCP_PORT": "8765" } } } }

Usage

Development Status Codes

  • DR: Discovery/Preclinical
  • C1: Phase 1 Clinical
  • C2: Phase 2 Clinical
  • C3: Phase 3 Clinical
  • PR: Pre-registration
  • R: Registered
  • L: Launched
  • DX: Discontinued
  • W: Withdrawn

Example Queries

  • "Search for drugs targeting obesity in phase 3"
  • "Find all launched drugs by Novo Nordisk"
  • "Explore ontology terms related to glucagon"

Python API

from cortellis_mcp import search_drugs, explore_ontology # Search for Phase 3 obesity drugs results = search_drugs( indication="obesity", phase="C3" ) # Explore ontology terms terms = explore_ontology( category="indication", term="diabetes" )

Documentation

Security

  • Token-based authentication using base64 encoded credentials
  • HTTPS encryption for API communications
  • Request validation and rate limiting
  • Regular security audits
  • Secure environment variable handling

Support

For issues and feature requests, please use the GitHub issue tracker.

-
security - not tested
A
license - permissive license
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

AIアシスタントがCortellisを介して医薬品データを検索・分析できるようにするMCPサーバー。包括的な医薬品検索、オントロジー探索、臨床試験データのリアルタイムアクセス機能を備えています。

  1. 特徴
    1. クイックスタート
      1. インストール
      2. 認証設定
      3. IDE統合
    2. 使用法
      1. 開発ステータスコード
      2. クエリの例
      3. Python API
    3. ドキュメント
      1. 安全
        1. サポート

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