Allows reading a connected Gmail account to retrieve missing information, such as a delivery reference, during a phone call.
Provides the realtime voice model used for call conversations and reasoning via the OpenAI API.
Connects calls to the telephone network and carries phone audio between the assistant and the recipient.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
An independent phone-calling plugin for OpenAI Dots. Tell Dots what you need; it prepares the brief, handles the call and brings the result back.
Set up with Codex · Watch the demo · Test results
“Find out when my replacement washing machine will arrive.”
The 60-second demo follows an actual Dots request: preparing a brief from a fictional order confirmation in a connected Page, calling an owned automated test recipient, navigating its IVR with keypad verification, and returning the reviewed answer. The Page is read before dialing.
The demo uses fictional details. This is an experimental preview you run on your
own computer, with your own accounts and credentials. It is for technical early
adopters who can run Docker, configure tunnels and register a private plugin.
There is no hosted account or one-click install. Current calling support is
US/Canada numbers in +1 format, with one active call per instance by default.
You can run the offline checks before adding credentials. For a connected installation, first confirm that your ChatGPT account can register a custom MCP connection and that you can create a Secure MCP Tunnel. Those are prerequisites for the default installation path.
The repository includes a setup skill for installation, separate from the phone skill used to make calls. Paste this prompt into Codex; it loads the setup guidance even before the plugin is installed. You will still complete account sign-ins and hidden local credential entry. The quickstart explains what to get and where.
Set up https://github.com/gabeosx/dot-phone-plugin on this computer.
Inspect existing tools, checkouts and services. Clone into a new folder or
reuse a suitable checkout without overwriting its files. Read and follow
.agents/skills/dots-phone-setup/SKILL.md, docs/QUICKSTART.md and docs/LOCAL-SETUP.md.
Load the setup skill directly from that file if it is not in your skill list.
Complete the routine setup you can. Guide me through local sign-ins and the
hidden terminal prompts for credentials; never ask for secrets in chat or put
them in command arguments or tracked files. Preserve existing keys, budgets,
source permissions and explicit choices. Use the same private config.env for
all Compose commands.
For a new install, enable the recommended DeepFilterNet3 filtering unless I
opt out: install verified weights outside the repo, build its native image,
and run its isolated local streaming checks before activating the overlay.
Keep recordings, models and private test results outside the repo. Report any
failed prerequisite instead of claiming filtering is active from its flag alone.
Keep dry-run enabled. Do not place calls, query email, purchase anything or run
paid model tests. Verify service/gateway health, the reasoner heartbeat, filter
configuration and the linked phone tools and packaged workflow where available.
Finish with what is ready, any remaining sign-in/configuration steps, and the
restart/rollback instructions.You’ll need:
Requirement | What it’s for |
Docker Compose, uv, Node and Codex CLI | Run the local service and reasoning worker. uv installs Python 3.13 and the locked dependencies. |
OpenAI API project | Realtime voice, paid through your API account. |
Twilio account and voice-capable number | Connect the call to the telephone network. Carrier charges apply. |
ChatGPT access to Codex and custom MCP/plugin registration | Connect Dots and run the signed-in reasoning worker. |
HTTPS/WSS tunnels | Let ChatGPT and Twilio reach the service on your computer. |
Gmail, Yahoo Mail and other connected sources are optional. You can start with facts you provide. Installing Dots Phone does not grant access to your inbox.
Dependencies, credentials and setup steps →
DeepFilterNet3 noise reduction is recommended enabled for normal setup. It runs locally, needs no recipient voice sample, keeps weights in an external cache and has an explicit off switch. The setup skill installs and checks its prerequisites before enabling it. Release notes describe the current preview.
Related MCP server: selectic-mcp
flowchart LR
Dots -->|Prepared brief| Voice[Realtime voice]
Voice <-->|Phone audio| Twilio[Twilio / recipient]
Voice <-->|Help when needed| Codex
Codex <-->|Allowed reads| Tools[Connected tools]The voice model answers ordinary questions from the brief. Codex handles missing information, harder decisions and final result review. The local service enforces the call’s scope and limits and stores encrypted call records. Model requests go to OpenAI; phone audio travels through Twilio.
Results can be incomplete when a source is unavailable or the conversation is unclear. See the validation record for tested behavior and known limits.
uv sync --frozen --extra pipecat --python 3.13
uv run python -m dots_phone.checks offlineThese checks use fixtures and mocks; they do not call anyone.
Local setup · Operations · Privacy · Troubleshooting and support · Upgrade
Dots Phone is an independent, self-hosted project, not affiliated with or endorsed by OpenAI or Twilio. Results are not guaranteed; review important results. You are responsible for charges to your connected accounts, including when a call fails, and for the permissions needed to use them. See usage and responsibilities.
MIT licensed. Third-party licenses and notices are retained.
This server cannot be deployed
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