Ask questions about your JupiterOne agentic security and it asset graph and manage alerts, rules, and dashboards — in natural language.
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
Synthflow
Build and manage AI voice agents from chat
Voluum
Manage and analyze your Voluum ad-tracking campaigns directly from Claude.
Eulerian Marketing Platform
Ask Claude about your Eulerian data — analytics, multi-touch attribution, audience segments, and campaign activation — in plain English.
Contract-Factory — Sociétés & SIREN
Infos officielles des entreprises françaises (RNE)
Sprites
Let Claude manage your Sprites
SuperBooks
Strong directory entry: JupiterOne surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, JupiterOne benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
JupiterOne is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated JupiterOne against two servers with overlapping tools; this profile had the clearer scope statement.
JupiterOne has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend JupiterOne for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired JupiterOne into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
JupiterOne is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired JupiterOne into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: JupiterOne surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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Manual configuration
{
"mcpServers": {
"jupiterone": {
"url": "https://mcp.us.jupiterone.io/mcp"
}
}
}Sign in: Required.
Ask questions about your JupiterOne agentic security and it asset graph and manage alerts, rules, and dashboards — in natural language.
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.
Financial OS for small businesses