Skip to main content
MistServer MistServer

Developer Hub

Quickstarts, API references, and community resources for MistServer developers.

Quickstart

Launch MistServer the way you prefer

Self-host locally, provision in the cloud, or work in a managed environment. Every command stays transparent and production-ready.

Docker Compose

Run a minimized MistServer image, or use the bootstrapped setup with hardware accelerated transcoding, sample videos, live generation and Grafana dashboard. Visit the docs to learn more about running MistServer in dockerized environments.

git clone https://github.com/DDVTECH/mistserver-bootstrap.git && cd mistserver-bootstrap && docker-compose up -d --build

Open http://localhost:4242 for the MistServer dashboard, http://localhost:3000 for Grafana monitoring, and use the bundled load-testing harness when you want to push traffic.

Full Docker documentation

Linux Package

Install MistServer on Linux, including service unit.

curl -o - https://releases.mistserver.org/is/mistserver_64Vlatest.tar.gz 2>/dev/null | sh

Open http://localhost:4242 to configure your node, start streaming, and run clustering or load-testing tooling as needed.

View Linux install guide

Managed hosting

Run MistServer as a managed service on FrameWorks

https://frameworks.network/
Open link

Connect your edge sources or test our enriched media platform.

Provision with FrameWorks

All OS downloads

Interested in pre-build Windows, Mac, Linux or ARM builds?

https://mistserver.org/download
Open link

Run MistController directly or use the OS specific service binaries

Installation guides

Automation & observability

MistServer exposes APIs to control inputs, outputs, load balancing, and telemetry. Integrate with Terraform, Ansible, or CI/CD tooling and stream metrics into Grafana or Prometheus.

Our examples include real-world scripts used by customers in production.

Engineer-led community

We keep hierarchy flat. When you ask a question, you get practical answers from the OptiMist engineers building and operating the stack.

Bring integration questions, bug reports, feature requests, and production edge cases to chat or GitHub; we use that feedback to prioritize fixes, documentation, and future work.

Need help fast?

Reach out when you hit an edge case, want an architecture review, or need to escalate an incident.