MCP & AI Agent Integration

Blazemeter
automation.

14 AI agent actions for Blazemeter — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Blazemeter to create tasks, update project status, and coordinate work across teams automatically. 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
14
actions
100%
governed
<200ms
latency
14
AI agent actions
8
Read operations
6
Write operations
1
High-risk actions (approval gated)
Productivity Blazemeter is a Productivity integration — use it to automate tasks, projects, and team workflows from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Blazemeter.

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 Master
blazemeter:get_master
Fetch details of a test execution (master) including status and results.
Read Low risk
Get Project
blazemeter:get_project
Fetch a single project by ID with details and settings.
Read Low risk
Get Test
blazemeter:get_test
Fetch a single test by ID with configuration and status details.
Read Low risk
Get Workspace
blazemeter:get_workspace
Fetch a single workspace by ID with details and settings.
Read Low risk
List Masters
blazemeter:list_masters
List test executions (masters) with optional filtering.
Read Low risk
List Projects
blazemeter:list_projects
List projects with optional filtering by workspace.
Read Low risk
List Tests
blazemeter:list_tests
List tests with optional filtering by workspace or project.
Read Low risk
List Workspaces
blazemeter:list_workspaces
List all workspaces accessible to the authenticated user.
Read Low risk
Create Project
blazemeter:create_project
Create a new project in a workspace.
Write Medium risk
Create Test
blazemeter:create_test
Create a new performance test in a project.
Write Medium risk
Delete Test
blazemeter:delete_test
Permanently delete a test and all its associated data.
Write High risk
Start Test
blazemeter:start_test
Start a performance test execution.
Write Medium risk
Stop Test
blazemeter:stop_test
Stop a running test execution.
Write Medium risk
Update Test
blazemeter:update_test
Update an existing test's properties and configuration.
Write Medium risk
MCP & Runtime API

Call Blazemeter
from any AI agent.

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

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

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 Blazemeter data
Call blazemeter:get_master 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 Blazemeter
Dry-run validates blazemeter:create_project before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Task or project event
Update status automatically
Notify assignees
Sync across tools
How it works

Every Blazemeter action
governed end-to-end.

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

Blazemeter works best
alongside these.

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

Blazemeter integration

Start free.
No credit card required.

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

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