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MCP Integrations Vercel
MCP & AI Agent Integration

Vercel
automation.

17 AI agent actions for Vercel — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Vercel to create tasks, update project status, and coordinate work across teams automatically. 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
17
actions
100%
governed
<200ms
latency
17
AI agent actions
7
Read operations
10
Write operations
4
High-risk actions (approval gated)
Productivity Vercel 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 Vercel.

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 Deployment
vercel:get_deployment
Fetch a single deployment by ID with build status and performance metrics.
Read Low risk
Get Domain
vercel:get_domain
Fetch domain configuration and verification status.
Read Low risk
Get Project
vercel:get_project
Fetch a single project by ID or domain name with deployment and environment details.
Read Low risk
List Deployments
vercel:list_deployments
List deployments with build status and performance information.
Read Low risk
List Domains
vercel:list_domains
List all domains with verification status and configuration details.
Read Low risk
List Environment Variables
vercel:list_environment_variables
List all environment variables for a project across different deployment targets.
Read Low risk
List Projects
vercel:list_projects
List all projects with basic information and deployment status.
Read Low risk
Add Domain
vercel:add_domain
Add a new domain to your Vercel account for use with projects.
Write Medium risk
Cancel Deployment
vercel:cancel_deployment
Cancel a running deployment. Only works for deployments in BUILDING or QUEUED state.
Write High risk
Create Deployment
vercel:create_deployment
Create a new deployment from Git source with optional environment overrides.
Write Medium risk
Create Environment Variable
vercel:create_environment_variable
Create a new environment variable for a project with specified deployment targets.
Write Medium risk
Create Project
vercel:create_project
Create a new Vercel project with optional Git integration and build settings.
Write Medium risk
Delete Environment Variable
vercel:delete_environment_variable
Delete an environment variable from a project. This may break deployments that depend on it.
Write High risk
Delete Project
vercel:delete_project
Permanently delete a Vercel project and all its deployments. This action cannot be undone.
Write High risk
Remove Domain
vercel:remove_domain
Remove a domain from your Vercel account. This will break any projects using this domain.
Write High risk
Update Environment Variable
vercel:update_environment_variable
Update an existing environment variable's value, targets, or other properties.
Write Medium risk
Update Project
vercel:update_project
Update an existing Vercel project's configuration and build settings.
Write Medium risk
MCP & Runtime API

Call Vercel
from any AI agent.

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

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

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 Vercel data
Call vercel:get_deployment 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 Vercel
Dry-run validates vercel:add_domain 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 Vercel action
governed end-to-end.

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

Vercel works best
alongside these.

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

Asana Jira Notion Github Slack
Vercel integration

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

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