Releasing Open Targets and Antibody Registry MCP Server

Imagine asking an AI assistant to analyze the latest gene expression data, cross-reference it with clinical trial results, and then pull up relevant antibody reagents—all in a single conversation. It's what our Model Context Protocol (MCP) Servers make possible today. MCP represents a fundamental shift in how we interact with scientific data and AI tools.

What is Open Targets?

Open Targets is a comprehensive platform that integrates evidence from over 22 primary data sources to support systematic drug target identification and prioritization. It provides researchers with:

• Target-Disease Associations: Evidence-based links between genes/proteins and diseases
• Genetic Evidence: Data from GWAS, ClinVar, UK Biobank, FinnGen, and more
• Drug Information: ChEMBL-backed drug profiles, mechanisms of action, and safety data
• Expression Data: Tissue and cell-type specific gene expression from GTEx and Human Protein Atlas
• Pathway Information: Reactome pathways, protein interactions, and biological processes
• Safety Profiles: Adverse events, pharmacogenomics, and toxicity data

Why Open Targets Matters for Drug Development?

Drug discovery is a notoriously expensive and time-consuming process, with average costs exceeding $2.6 billion and timelines spanning 10-15 years. Choosing the right drug target at the outset can dramatically improve success rates in clinical trials. Open Targets addresses this challenge by:

• Integrating Multiple Evidence Types: Combining genetics, functional genomics, literature mining, and clinical data into a unified platform
• Scoring Associations: Providing confidence scores for target-disease relationships based on evidence strength
• Enabling Hypothesis Generation: Helping researchers discover novel therapeutic opportunities through data exploration
• Supporting Target Prioritization: Offering safety, tractability, and clinical precedence information to inform decision-making

The Open Targets MCP Server: Bringing Data to AI

Our Open Targets MCP Server makes this wealth of knowledge accessible to AI agents and applications through a standardized interface. Built on the Model Context Protocol, it provides:

Five Unified Tool Categories

Real-World Use Cases

Target Validation

"Use opentargets to find genetic evidence supporting EGFR as a target for lung cancer?" - The MCP server can aggregate evidence from GWAS, somatic mutations, and literature to provide a comprehensive validation profile.

Drug Repurposing

"Find approved drugs that target proteins associated with inflammatory bowel disease using opentargets" - Discover repurposing opportunities by connecting approved drugs to disease-associated targets.

The Antibody Registry MCP Server

Complementing the Open Targets server, our Antibody Registry MCP Server provides access to the Antibody Registry, a comprehensive database of commercial antibodies used in research. This is critical for:

• Reproducibility: Ensuring consistent antibody selection across experiments
• Experimental Planning: Finding validated antibodies for specific applications (Western blot, IHC, Flow cytometry)
• Literature Search: Identifying which antibodies were used in published studies

Available Tools

How MCP Servers Enable Faster Drug Development

By implementing these databases as MCP servers, we enable several key advantages:

Get Access to These MCP Servers

These powerful MCP servers can be integrated into your preferred AI platform to enhance your research capabilities. Whether you use ChatGPT, Claude, or our own UbiChat platform, we can help you get started.

At UniBio Intelligence, we're committed to building tools that enhance the capabilities of AI systems while maintaining scientific rigor and accuracy. These MCP servers embody our vision of truth-grounded AI that empowers researchers to make breakthrough discoveries faster than ever before.