Monitor Hub is the definitive platform for Model Context Protocol (MCP) full stack monitoring. Connect AI assistants to your live infrastructure to query website uptime, API latency, database health, and server telemetry directly inside Claude, Cursor, or ChatGPT using the standard MCP protocol.
Select Claude, Cursor, ChatGPT, or Gemini in your Monitor Hub settings.
Authorize secure PKCE single-sign-on without copying raw API secret keys.
Grant granular, read-only permissions (`mcp:read`) tailored for operational safety.
Ask your AI assistant: "Which APIs are down?" or "Show server CPU load".
Standardized integration with zero vendor lock-in.
Anthropic Claude via Remote MCP SSE
Native Cursor workspace telemetry
OpenAI Actions via OpenAPI 3.0
Gemini Pro function declarations
Codeium Windsurf Remote MCP
GitHub Copilot & VS Code agents
Tokens issued to AI clients (`mcp:read`) are strictly read-only. AI assistants cannot alter infrastructure settings or delete monitors.
Built on RFC 7591 dynamic client registration and SHA-256 PKCE code challenges to protect credentials against interception.
Every AI query execution is logged with timestamp, tool name, IP address, and response latency inside your workspace audit log.
Our Model Context Protocol implementation is built from the ground up for security, speed, and standard compliance.
The MCP server connects directly to our high-performance Redis cache and timeseries database. When Claude asks for server CPU, it gets sub-second accurate data without polling delays.
No more copying raw API keys into text files. Authenticate your AI clients using industry-standard PKCE OAuth flows.
Monitor everything from complex GraphQL APIs to raw Ubuntu server metrics, all mapped cleanly to MCP tool schemas.
We don't just dump raw JSON. Monitor Hub's MCP server pre-processes metrics into dense, semantically rich summaries that minimize token usage while maximizing the LLM's analytical capabilities.