Drug target discovery and prioritisation platform
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Mojo — Pocket Capture
Talk to your leads, funnel, and capture setup
Duvo
Create, monitor, and manage your Duvo automations
Revvity Signals AI
Natural language access to Signals electronic notebook
Meko
Shared context for agents that work and learn together.
Contract-Factory — Sociétés & SIREN
Infos officielles des entreprises françaises (RNE)
Find Your Great
Understand your work impact — ask about what you actually did, decided, and changed.
I recommend Open Targets for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Open Targets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Open Targets against two servers with overlapping tools; this profile had the clearer scope statement.
Open Targets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Open Targets benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Open Targets is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Open Targets benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Open Targets into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Open Targets into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Open Targets benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Manual configuration
{
"mcpServers": {
"open-targets": {
"url": "https://mcp.platform.opentargets.org/mcp"
}
}
}Sign in: Not required.
Drug target discovery and prioritisation platform
README content is unavailable from source data for this server.
Open GitHub repository →Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.