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MCP Integrations Practitest
MCP & AI Agent Integration

Practitest
automation.

16 AI agent actions for Practitest — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Practitest 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.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
16
actions
100%
governed
<200ms
latency
16
AI agent actions
10
Read operations
6
Write operations
0
High-risk actions (approval gated)
Customer Support Practitest 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 Practitest.

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 Issue
practitest:get_issue
Fetch a single issue by ID with details and status.
Read Low risk
Get Project
practitest:get_project
Fetch a single project by ID with basic details and settings.
Read Low risk
Get Requirement
practitest:get_requirement
Fetch a single requirement by ID with details and coverage.
Read Low risk
Get Run
practitest:get_run
Fetch a single test run by ID with execution details.
Read Low risk
Get Test
practitest:get_test
Fetch a single test by ID with steps and details.
Read Low risk
List Issues
practitest:list_issues
List issues in a project with optional filtering and pagination.
Read Low risk
List Projects
practitest:list_projects
List all projects with optional filtering and pagination.
Read Low risk
List Requirements
practitest:list_requirements
List requirements in a project with optional filtering and pagination.
Read Low risk
List Runs
practitest:list_runs
List test runs in a project with optional filtering and pagination.
Read Low risk
List Tests
practitest:list_tests
List tests in a project with optional filtering and pagination.
Read Low risk
Create Issue
practitest:create_issue
Create a new issue in a PractiTest project.
Write Medium risk
Create Project
practitest:create_project
Create a new project in PractiTest.
Write Medium risk
Create Requirement
practitest:create_requirement
Create a new requirement in a PractiTest project.
Write Medium risk
Create Run
practitest:create_run
Create a new test run for a test instance.
Write Medium risk
Create Test
practitest:create_test
Create a new test in a PractiTest project.
Write Medium risk
Update Issue
practitest:update_issue
Update an existing issue in PractiTest.
Write Medium risk
MCP & Runtime API

Call Practitest
from any AI agent.

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

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

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 Practitest data
Call practitest:get_issue 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 Practitest
Dry-run validates practitest:create_issue 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 Practitest action
governed end-to-end.

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

Practitest works best
alongside these.

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

Zendesk Intercom Reamaze Slack Hubspot
Practitest integration

Start free.
No credit card required.

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

Start free — 1,000 runs Browse all integrations →