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• W: Withdrawn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

• API Reference
• Example Scripts
• Contributing Guidelines
• License

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.