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:

Copy .env.example to .env
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W: Withdrawn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.

Categories

Current Category: competitive-intelligence

mcp-cortellis