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MCP Integrations Libraria
MCP & AI Agent Integration

Libraria
automation.

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

Connect Libraria free Browse all integrations →
No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
17
actions
100%
governed
<200ms
latency
17
AI agent actions
6
Read operations
11
Write operations
3
High-risk actions (approval gated)
Communication Libraria 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 Libraria.

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 Chatbot
libraria:get_chatbot
Fetch a single chatbot by ID with its configuration and linked libraries.
Read Low risk
Get Document
libraria:get_document
Fetch a single document by ID with its content and metadata.
Read Low risk
Get Library
libraria:get_library
Fetch a single library (knowledge base) by ID with its configuration and stats.
Read Low risk
List Chatbots
libraria:list_chatbots
List all chatbots with optional filtering and pagination.
Read Low risk
List Documents
libraria:list_documents
List documents in a library with optional filtering and pagination.
Read Low risk
List Libraries
libraria:list_libraries
List all libraries (knowledge bases) with optional filtering and pagination.
Read Low risk
Chat With Bot
libraria:chat_with_bot
Send a message to a chatbot and get an AI-generated response.
Write Medium risk
Create Chatbot
libraria:create_chatbot
Create a new chatbot with specified libraries and configuration.
Write Medium risk
Create Document
libraria:create_document
Create a new document in a library with text content or from a URL.
Write Medium risk
Create Library
libraria:create_library
Create a new library (knowledge base) with the specified configuration.
Write Medium risk
Delete Chatbot
libraria:delete_chatbot
Permanently delete a chatbot. This will disable all embedded instances.
Write High risk
Delete Document
libraria:delete_document
Permanently delete a document from a library. This action cannot be undone.
Write High risk
Delete Library
libraria:delete_library
Permanently delete a library and all its documents. This action cannot be undone.
Write High risk
Query Library
libraria:query_library
Query a library to find relevant documents and get AI-generated answers.
Write Medium risk
Update Chatbot
libraria:update_chatbot
Update an existing chatbot's configuration, libraries, or settings.
Write Medium risk
Update Document
libraria:update_document
Update an existing document's title, content, URL, or metadata.
Write Medium risk
Update Library
libraria:update_library
Update an existing library's name, description, or settings.
Write Medium risk
MCP & Runtime API

Call Libraria
from any AI agent.

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

libraria:get_chatbot READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "libraria:get_chatbot",
    "args": {},
    "execution_id": "agent-001"
  }'
libraria:chat_with_bot 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": "libraria:chat_with_bot",
    "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 Libraria.

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 Libraria data
Call libraria:get_chatbot 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 Libraria
Dry-run validates libraria:chat_with_bot 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 Libraria action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Libraria — 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 Libraria action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Libraria action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Libraria works best
alongside these.

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

Slack Gmail Microsoft Teams Discord Twilio
Libraria integration

Start free.
No credit card required.

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

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