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MCP Integrations Deepgram
MCP & AI Agent Integration

Deepgram
automation.

10 AI agent actions for Deepgram — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Deepgram 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
10
actions
100%
governed
<200ms
latency
10
AI agent actions
5
Read operations
5
Write operations
1
High-risk actions (approval gated)
Productivity Deepgram 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 Deepgram.

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 Project
deepgram:get_project
Get details about a specific Deepgram project.
Read Low risk
Get Usage
deepgram:get_usage
Get usage statistics for a Deepgram project within a date range.
Read Low risk
List Models
deepgram:list_models
List all available Deepgram models for speech-to-text and text-to-speech.
Read Low risk
List Project Keys
deepgram:list_project_keys
List all API keys for a Deepgram project.
Read Low risk
List Projects
deepgram:list_projects
List all Deepgram projects accessible with the current API key.
Read Low risk
Create Project Key
deepgram:create_project_key
Create a new API key for a Deepgram project with specific scopes and permissions.
Write Medium risk
Delete Project Key
deepgram:delete_project_key
Delete an API key from a Deepgram project. This action cannot be undone.
Write High risk
Generate Speech
deepgram:generate_speech
Generate speech audio from text using Deepgram's text-to-speech API.
Write Medium risk
Transcribe Audio
deepgram:transcribe_audio
Transcribe an audio or video file using Deepgram's speech-to-text API.
Write Medium risk
Transcribe File
deepgram:transcribe_file
Transcribe an audio or video file by uploading the file data directly to Deepgram.
Write Medium risk
MCP & Runtime API

Call Deepgram
from any AI agent.

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

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

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 Deepgram data
Call deepgram:get_project 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 Deepgram
Dry-run validates deepgram:create_project_key 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 Deepgram action
governed end-to-end.

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

Deepgram works best
alongside these.

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

Asana Jira Notion Github Slack
Deepgram integration

Start free.
No credit card required.

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

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