How to connect Deepgram to OpenClaw (paste one key, 8 tools)

The usual route to Deepgram access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Deepgram setup: install one ClawHub skill, connect Deepgram in the browser, and OpenClaw can call real Deepgram actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.

Setup

It takes three steps to connect OpenClaw to Deepgram.

1
Install the plugin
Paste the setup prompt into OpenClaw, or install from the terminal and ask OpenClaw to pair:
openclaw plugins install clawhub:clawlink-plugin
2
Connect Deepgram
Paste your API key in the dashboard.
3
Use it from chat
Ask OpenClaw: "What can you do with Deepgram?"

Install by command

The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval:

openclaw plugins install clawhub:clawlink-plugin

Then ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say done. Finally, connect Deepgram in the ClawLink dashboard — paste your Deepgram API key once.

Verify the connection by asking OpenClaw:

Pull the relevant data from Deepgram, summarize it in plain English, and point out anything that needs attention.

Using a different agent?

The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI:

npx -y @useclawlink/cli login

login opens the same browser approval and stores a credential locally. Once Deepgram is connected in the dashboard, that agent calls the same 8 Deepgram tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.

Deepgram MCP for OpenClaw

Looking for a Deepgram MCP server for OpenClaw? ClawLink connects Deepgram to OpenClaw and exposes 8 Deepgram tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using Hermes instead? The Hermes Deepgram integration works the same way.

What the OpenClaw Deepgram integration can do

8 Deepgram tools are ready for OpenClaw once the account is connected.

All 8 Deepgram tools for OpenClaw

Tool	What it does
Get model `deepgram_get_model`	Retrieve metadata for a specific Deepgram model by its UUID
Get models `deepgram_get_models`	Retrieve metadata on all public Deepgram models (speech-to-text and text-to-speech)
Get project usage summary `deepgram_get_project_usage_summary`	Retrieves aggregated usage statistics for a Deepgram project including total audio duration
Get projects `deepgram_get_projects`	List all Deepgram projects
List project scopes `deepgram_list_project_scopes`	List all scopes for a specified Deepgram project
List think models `deepgram_list_think_models`	List available think models for AI agent processing and voice agent configuration
Speech to text pre recorded `deepgram_speech_to_text_pre_recorded`	Transcribe pre-recorded audio files into text
Text to speech rest `deepgram_text_to_speech_rest`	Convert text into natural-sounding speech

Try it: find the Deepgram tool you need

Browse the 8 Deepgram tools

Click any tool to see exactly what OpenClaw can do and copy a ready-to-use prompt.

Example prompts

Pull the relevant data from Deepgram, summarize it in plain English, and point out anything that needs attention.

ClawLink vs. building it yourself

The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Deepgram working from chat.

	Manual	ClawLink
Credential handling	Collect, validate, store, and rotate the Deepgram API key yourself, then make sure every tool call uses the right account.	Users complete the hosted ClawLink setup once and the connected Deepgram account becomes available to the agent without you building credential management.
Ongoing maintenance	You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Deepgram.	ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure.
Agent usability	You still need to expose the right Deepgram actions to the runtime in a format your agent can reliably use.	8 tools for Deepgram are already exposed through ClawLink, so the agent can read and act from chat immediately.

ClawLink vs. Composio

Composio also exposes Deepgram to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Deepgram in the browser, and the 8 tools above work from chat. There is no SDK and no config file, and the Deepgram key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full Composio alternatives comparison.

Troubleshooting

OpenClaw installed the Deepgram skill but can't call the tools

The ClawHub skill teaches OpenClaw about Deepgram, but the calls run through the ClawLink plugin and your connected account. Make sure Deepgram is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.

Connection succeeds but no tools appear

Reconnect Deepgram from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded.

"Tool schema not loaded yet" error when calling Deepgram tools

Deepgram tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Deepgram call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again.

Deepgram returns 403 or "permission denied" on one action while others work

Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs.

API key setup works but results look incomplete

Double-check that the API key for Deepgram has the right scopes or account access. A valid key can still be too limited for some reads or writes.

FAQ

Is there a OpenClaw Deepgram integration?

Yes. ClawLink is the fastest way to connect OpenClaw to Deepgram: link your Deepgram account once in the browser and OpenClaw can call the Deepgram API through 8 ready-made tools — no custom code or token handling.

How do I add Deepgram to OpenClaw with ClawLink?

Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Deepgram skill from ClawHub, then you click Connect in the dashboard to authorize Deepgram. OpenClaw calls the tools from the next message — no config files, and the Deepgram key you paste is stored server-side instead of in your environment.

How long does it take to connect Deepgram to OpenClaw?

About two minutes. Sign in, click Connect next to Deepgram in the dashboard, authenticate, and OpenClaw can use it from the next chat message.

Why use ClawLink instead of wiring Deepgram up myself?

OpenClaw installed the Deepgram skill but can't call the tools

How to connect Deepgram to OpenClaw

Setup

Install the plugin

Connect Deepgram

Use it from chat