Find reliability risks in your systems: design, run, and analyze chaos experiments.
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
YouTrack
Plan and track work in YouTrack
Greenhouse
Connect Claude to Greenhouse. Search, analyze and update candidates, applications, jobs, interviews, scorecards, offers and more in plain language.
Airwallex
Manage global finances
Sprites
Let Claude manage your Sprites
Pi Security
Agentic product security platform
iubenda: Privacy policy & cookie banner
GDPR and CCPA compliance: cookie consent, cookie scanner, and terms and conditions
Steadybit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Steadybit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Steadybit against two servers with overlapping tools; this profile had the clearer scope statement.
Steadybit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: Steadybit is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Steadybit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Steadybit against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Steadybit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Steadybit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Steadybit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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Manual configuration
{
"mcpServers": {
"steadybit": {
"url": "https://platform.steadybit.com/mcp/demo"
}
}
}Sign in: Required.
Find reliability risks in your systems: design, run, and analyze chaos experiments.
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.