MCP & AI Agent Integration

Beekeeper
automation.

18 AI agent actions for Beekeeper — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Beekeeper to resolve tickets, route conversations, and escalate edge cases without a human in the loop. 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
18
actions
100%
governed
<200ms
latency
18
AI agent actions
8
Read operations
10
Write operations
3
High-risk actions (approval gated)
Customer Support Beekeeper is a Customer Support integration — use it to automate ticket management, conversations, and escalations from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Beekeeper.

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 Conversation
beekeeper:get_conversation
Fetch a conversation with recent messages.
Read Low risk
Get Group
beekeeper:get_group
Fetch a single group by ID with member information.
Read Low risk
Get Post
beekeeper:get_post
Fetch a single post by ID with comments.
Read Low risk
Get User
beekeeper:get_user
Fetch a single user by ID with profile information and group memberships.
Read Low risk
List Conversations
beekeeper:list_conversations
List conversations for the authenticated user.
Read Low risk
List Groups
beekeeper:list_groups
List and search groups with filtering options.
Read Low risk
List Posts
beekeeper:list_posts
List and search posts with filtering and sorting options.
Read Low risk
List Users
beekeeper:list_users
List and search users with filtering options.
Read Low risk
Add Group Member
beekeeper:add_group_member
Add a user to a group with specified role.
Write Medium risk
Create Group
beekeeper:create_group
Create a new group in Beekeeper.
Write Medium risk
Create Post
beekeeper:create_post
Create a new post in a group.
Write Medium risk
Create User
beekeeper:create_user
Create a new user in Beekeeper.
Write Medium risk
Delete Post
beekeeper:delete_post
Delete a post from Beekeeper. This action cannot be undone.
Write High risk
Delete User
beekeeper:delete_user
Delete a user from Beekeeper. This action cannot be undone.
Write High risk
Remove Group Member
beekeeper:remove_group_member
Remove a user from a group.
Write High risk
Send Message
beekeeper:send_message
Send a message to a user or group.
Write Medium risk
Update Post
beekeeper:update_post
Update an existing post.
Write Medium risk
Update User
beekeeper:update_user
Update an existing user's information.
Write Medium risk
MCP & Runtime API

Call Beekeeper
from any AI agent.

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

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

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 Beekeeper data
Call beekeeper:get_conversation 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 Beekeeper
Dry-run validates beekeeper:add_group_member before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Support ticket created
Classify with AI
Auto-resolve or escalate
Notify team with full context
How it works

Every Beekeeper action
governed end-to-end.

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

Beekeeper works best
alongside these.

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

Beekeeper integration

Start free.
No credit card required.

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

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