Plori
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PLORI_API_KEY | No | plori API key (plori_sk_...). Optional: without it the bridge starts the browser OAuth sign-in flow. |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| answer_pending_inputA | Answer a run that is paused on a human-input request (from list_pending_inputs). For an approval, set approved=true/false. For an input request, set value to the requested text. |
| create_agentA | Get or create an agent by name: a cloud computer running plori's agent, with its own disk, tools, and memory. If the account already has an agent with this name, that agent is returned (marked "existing": true) instead of a duplicate — safe to call repeatedly, and the right way to reconnect to an agent you used before. Creation is subject to the account's plan limits (agent count, model tier); model is ignored when an existing agent is returned (use set_agent_model to change it). |
| create_workflowA | Create an empty workflow (its steps are built separately by an agent). Returns the new workflow, including its id and — for a webhook trigger — its hook URL. trigger_kind defaults to "manual" (run it on demand with run_workflow); "cron" needs a cron_expr; "webhook" mints a public hook URL. |
| delete_agentA | Permanently delete an agent and revoke its disk. This cannot be undone. |
| get_agentA | Get one agent's details (name, type, model, status) by its id. |
| get_creditsA | Get the authenticated account's credit balance and plan. Running agents spends credits, so check this before invoking. |
| get_diskA | Get the authenticated account's disk state (included, purchased, used bytes, and monthly cost). |
| get_run_resultA | Get a run's status and, if it has completed, the assistant's reply, plus a "url" that opens the run's session in the web app. Use to poll a run started with invoke_agent wait=false. |
| get_usageA | Get the authenticated account's usage rollup (spend by meter and by agent, recent runs). |
| get_workflow_executionA | Get one workflow execution's status, timing, credits, and per-step outcome. Use to poll a run started with run_workflow. |
| invoke_agentA | Send a message to an agent. By default waits up to ~25s for the turn to finish and returns the assistant's reply; if it is still running by then it returns a run_id with status "running" to poll via get_run_result. Agent turns can take minutes (research, multi-step or tool-heavy work). This call blocks your own turn while it waits, and no MCP client backgrounds it — so if the user is not waiting on this reply, or you expect a long turn, pass wait=false to get a run_id back immediately and poll get_run_result on your own cadence instead of holding the call open. Running an agent spends credits. If the run pauses on a human-input request it returns status "awaiting_input" (use list_pending_inputs + answer_pending_input). Every result also carries a "url" that opens this run's exact session in the web app, so a human can go read it. |
| list_agentsA | List the agents owned by the authenticated account, with their model and live session status. |
| list_brainsA | List the agent type plori provides. create_agent always provisions it, so this is informational and optional. |
| list_pending_inputsA | List the agent's runs that are paused awaiting a human approval or input (the HITL queue). |
| list_runsA | List an agent's run history (most recent first), with each run's status. |
| list_workflowsA | List the workflows owned by the authenticated account, with each one's status, trigger, and current version. |
| run_workflowA | Run a workflow now — a real execution with real side effects, billed like any run (1 credit + model usage). Waits briefly and returns the execution: terminal if it finished, else status "running" to poll with get_workflow_execution. The workflow must have steps built already. |
| schedule_runA | Schedule a deferred run of an agent: it will be invoked later with the given prompt. Provide either delay_seconds (relative) or fire_at (an RFC3339 timestamp). |
| set_agent_modelA | Change an agent's model. Takes effect on the agent's next turn. Frontier models require a paid plan. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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