Connect Claude to Greenhouse. Search, analyze and update candidates, applications, jobs, interviews, scorecards, offers and more in plain 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
Jedify
Governed, live business context for you and your agents - so they reason and act on your organization’s trusted data, definitions, and knowledge.
Ninout
Design, publish, and analyze forms entirely in chat
Terminal49
Track ocean shipments and containers
mittwald
Connect your agent to the mittwald managed container hosting platform
Nutshell CRM
Connect Claude to Nutshell CRM to search leads, contacts, and companies, pull sales reports, and review deal timelines - all without leaving chat.
JupiterOne
Greenhouse is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: Greenhouse is the kind of server we cite when onboarding engineers to host + tool permissions.
Greenhouse is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Greenhouse benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Greenhouse reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Greenhouse is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Greenhouse benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Greenhouse surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Greenhouse into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Greenhouse against two servers with overlapping tools; this profile had the clearer scope statement.
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Manual configuration
{
"mcpServers": {
"greenhouse": {
"url": "https://mcp.greenhouse.io/mcp"
}
}
}Sign in: Required.
Connect Claude to Greenhouse. Search, analyze and update candidates, applications, jobs, interviews, scorecards, offers and more in plain 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.
Ask questions about your JupiterOne agentic security and it asset graph and manage alerts, rules, and dashboards — in natural language.