Connect AI assistants to your Pulsetic monitoring platform using the [Model Context Protocol](https://modelcontextprotocol.io) (MCP).
Connect AI assistants to your Pulsetic monitoring platform using the Model Context Protocol (MCP).
The Model Context Protocol is an open standard that allows AI assistants to interact with external tools and services. With Pulsetic's MCP server, you can ask your AI assistant to check monitor status, create incidents, schedule maintenance, and more — all through natural conversation.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| list_monitors | |
| get_monitor | |
| get_monitor_stats | |
| get_monitor_events | |
| get_monitor_downtime | |
| create_monitor | |
| update_monitor | |
| delete_monitor | |
| pause_monitor | |
| resume_monitor | |
| list_status_pages | |
| list_incidents | |
| create_incident | |
| update_incident | |
| resolve_incident | |
| create_maintenance | |
| delete_maintenance |
{
"mcpServers": {
"pulsetic": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.pulsetic.com/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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