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MCP Integrations Talenthr
MCP & AI Agent Integration

Talenthr
automation.

15 AI agent actions for Talenthr — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Talenthr to automate business processes and connect tools in your stack. Full governance, audit trail, and dry-run safety on every execution.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
15
actions
100%
governed
<200ms
latency
15
AI agent actions
8
Read operations
7
Write operations
0
High-risk actions (approval gated)
Business Tools Talenthr is a Business Tools integration — use it to automate business operations and workflow automation from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Talenthr.

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 Department
talenthr:get_department
Fetch a single department by ID with details and employee count.
Read Low risk
Get Employee
talenthr:get_employee
Fetch a single employee by ID with personal details and employment information.
Read Low risk
Get Leave Request
talenthr:get_leave_request
Fetch a single leave request by ID with details and approval status.
Read Low risk
Get Time Entry
talenthr:get_time_entry
Fetch a single time entry by ID with work details and duration.
Read Low risk
List Departments
talenthr:list_departments
List all departments in the organization with optional filtering.
Read Low risk
List Employees
talenthr:list_employees
List employees with optional filtering by department, status, or search term.
Read Low risk
List Leave Requests
talenthr:list_leave_requests
List leave requests with optional filtering by employee, status, or date range.
Read Low risk
List Time Entries
talenthr:list_time_entries
List time entries with optional filtering by employee, date range, or project.
Read Low risk
Approve Leave Request
talenthr:approve_leave_request
Approve a pending leave request.
Write Medium risk
Create Department
talenthr:create_department
Create a new department in TalentHR.
Write Medium risk
Create Employee
talenthr:create_employee
Create a new employee record in TalentHR.
Write Medium risk
Create Leave Request
talenthr:create_leave_request
Create a new leave request for an employee.
Write Medium risk
Create Time Entry
talenthr:create_time_entry
Create a new time entry for an employee's work hours.
Write Medium risk
Reject Leave Request
talenthr:reject_leave_request
Reject a pending leave request with a reason.
Write Medium risk
Update Employee
talenthr:update_employee
Update an existing employee record in TalentHR.
Write Medium risk
MCP & Runtime API

Call Talenthr
from any AI agent.

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

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

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 Talenthr data
Call talenthr:get_department 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 Talenthr
Dry-run validates talenthr:approve_leave_request before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Event in Talenthr
Process with AI agent
Take governed action
Log to audit trail
How it works

Every Talenthr action
governed end-to-end.

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

Talenthr works best
alongside these.

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

Slack Gmail Hubspot Google Sheets Notion
Talenthr integration

Start free.
No credit card required.

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

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