Search and explore regulated software lifecycle data
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
LawY
Efficiently work with your legal matters and documents from within Claude.
Motherboard
Read your company's service tickets, equipment records, SOPs and service manuals in Claude, with your existing Motherboard permissions.
Apify
Extract data from any website with thousands of tools.
Metal
Access your deal intelligence
Restream
Create and manage live streams on 30+ destinations
Docfarm
Host, share, track and collaborate on anything you build with AI
Ketryx has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Ketryx has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Ketryx against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Ketryx benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Ketryx benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Ketryx into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Ketryx into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Ketryx benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Ketryx into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Ketryx surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 61
Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"ketryx": {
"url": "https://app.ketryx.com/api/mcp"
}
}
}Sign in: Required.
Search and explore regulated software lifecycle data
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.