Create and drive plori cloud agents (each an AI agent on its own cloud computer) over MCP.
If you already use Plori, the plori mcp server is the piece that lets your assistant work with it directly. Create and drive plori cloud agents (each an AI agent on its own cloud computer) over MCP.
plori provides the agent: each one gets a persistent machine with a real disk, real tools, and memory of its own. Idle agents scale to zero. You talk to your agents in the web app, or drive them from your own tools over MCP and REST.
The server ships on npm as plori-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Agents — list, inspect, create, and delete agents; pick the model an agent runsRuns — invoke an agent and read its reply (blocking or fire-and-forget), listHuman-in-the-loop — list an agent's pending questions and answer themScheduling — schedule a deferred run so an agent works while you are awayWorkflows — list every workflow or filter by holding agent / the unassigned bucketThis sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Plori's toolset — Agents, Runs, Human-in-the-loop and 2 more — is a fair guide to whether it matches your workflow. It is maintained by ai.plori; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Plori's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Agents | list, inspect, create, and delete agents; pick the model an agent runs. |
| Runs | invoke an agent and read its reply (blocking or fire-and-forget), list |
| Human-in-the-loop | list an agent's pending questions and answer them. |
| Scheduling | schedule a deferred run so an agent works while you are away. |
| Workflows | list every workflow or filter by holding agent / the unassigned bucket |
{
"mcpServers": {
"plori": {
"command": "npx",
"args": ["-y", "plori-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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