MCP & AI Agent Integration

Lamini
automation.

13 AI agent actions for Lamini — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Lamini to send alerts, post updates, and coordinate team actions based on triggers. Full governance, audit trail, and dry-run safety on every execution.

No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
13
actions
100%
governed
<200ms
latency
13
AI agent actions
6
Read operations
7
Write operations
3
High-risk actions (approval gated)
Communication Lamini is a Communication integration — use it to automate messaging, notifications, and team collaboration from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Lamini.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Dataset
lamini:get_dataset
Fetch details about a specific dataset including size and format information.
Read Low risk
Get Model
lamini:get_model
Fetch details about a specific model including training status and configuration.
Read Low risk
Get Training Job
lamini:get_training_job
Fetch details about a specific training job including progress and status.
Read Low risk
List Datasets
lamini:list_datasets
List all available datasets with optional filtering and pagination.
Read Low risk
List Models
lamini:list_models
List all available models with optional filtering and pagination.
Read Low risk
List Training Jobs
lamini:list_training_jobs
List all training jobs with optional filtering and pagination.
Read Low risk
Cancel Training Job
lamini:cancel_training_job
Cancel a running training job. This will stop the training process.
Write High risk
Chat Completion
lamini:chat_completion
Generate chat completions using a conversational format with message history.
Write Medium risk
Create Dataset
lamini:create_dataset
Create a new dataset for training or fine-tuning models.
Write Medium risk
Create Model
lamini:create_model
Create and start training a new fine-tuned model.
Write Medium risk
Delete Dataset
lamini:delete_dataset
Permanently delete a dataset. This action cannot be undone.
Write High risk
Delete Model
lamini:delete_model
Permanently delete a model. This action cannot be undone.
Write High risk
Generate Text
lamini:generate_text
Generate text using a specified model with customizable parameters.
Write Medium risk
MCP & Runtime API

Call Lamini
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Lamini actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

lamini:get_dataset READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "lamini:get_dataset",
    "args": {},
    "execution_id": "agent-001"
  }'
lamini:cancel_training_job WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "lamini:cancel_training_job",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Lamini.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Lamini data
Call lamini:get_dataset via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Lamini
Dry-run validates lamini:cancel_training_job before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Message or alert triggered
Route to right channel
Notify relevant team
Log to audit trail
How it works

Every Lamini action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Lamini — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Lamini action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Lamini action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Lamini works best
alongside these.

Build multi-step workflows that connect Lamini to the rest of your stack. All governed. All audited.

Lamini integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Lamini in minutes, dry-run every action before it touches production, full audit trail on everything.

Start free — 1,000 runs Browse all integrations →