Orion

Name: Orion
Author: GoPlasmatic

by GoPlasmaticversion 1.1.0i★ –iRuns on your computer

Registry nameio.github.GoPlasmatic/orion

Install

Overview

Description from the maker (original English)

Build and operate declarative REST/Kafka services on Orion: 58 tools over the full admin API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: ORION_SERVER_URL, ORION_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: ORION_SERVER_URL, ORION_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "orion": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ORION_SERVER_URL",
        "-e",
        "ORION_API_KEY",
        "ghcr.io/goplasmatic/orion-cli:1.1.0",
        "mcp",
        "serve"
      ],
      "env": {
        "ORION_SERVER_URL": "your-value",
        "ORION_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add orion --env ORION_SERVER_URL=your-value --env ORION_API_KEY=your-value -- docker run -i --rm -e ORION_SERVER_URL -e ORION_API_KEY ghcr.io/goplasmatic/orion-cli:1.1.0 mcp serve

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "orion": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ORION_SERVER_URL",
        "-e",
        "ORION_API_KEY",
        "ghcr.io/goplasmatic/orion-cli:1.1.0",
        "mcp",
        "serve"
      ],
      "env": {
        "ORION_SERVER_URL": "your-value",
        "ORION_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "orion": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ORION_SERVER_URL",
        "-e",
        "ORION_API_KEY",
        "ghcr.io/goplasmatic/orion-cli:1.1.0",
        "mcp",
        "serve"
      ],
      "env": {
        "ORION_SERVER_URL": "your-value",
        "ORION_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

ORION_SERVER_URL required env
URL of the Orion server to manage (e.g. http://localhost:8080)
ORION_API_KEY secret env
API key, if the Orion server has admin authentication enabled

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account GoPlasmatic, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32680 servers in this category
Published to the registry more recently than 29% of the other 32680 servers in this category
Basic checks equal to or better than 100% of the other 32680 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Orion safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ORION_SERVER_URL, ORION_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

Install

EmbeddedCI BenchPod

by embeddedci-com

Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.

Runs on your computerUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Orion

Build services at AI speed on a consistent, governed foundation.

Define the business logic in JSON. Orion supplies the runtime around it.

Orion is a declarative services runtime. An Orion service consists of a workflow and a channel, with optional connectors to external systems. Post those definitions, activate them, and the service is live—without writing an application server, building a container for each service, or restarting the runtime.

Orion consistently handles the surrounding infrastructure: routing, ingress guards, rate limits, timeouts, retries, circuit breakers, connection pooling, version rollout, rollback, metrics, and tracing. Definitions can be written by a developer or proposed by an AI assistant; they follow the same draft, test, activation, and audit path.

[!NOTE]

Orion is designed for request- and event-shaped work expressible as ordered

task functions and JSONLogic. It is not a general-purpose application runtime

or a durable workflow engine. See When Orion fits before

choosing it for a project.

Quickstart

This tested path uses Docker, curl, and a POSIX-compatible shell. It starts a local Orion instance, deploys an order-processing workflow and channel, and calls the resulting API.

1. Start Orion

docker run --name orion-quickstart -d -p 8080:8080 \

ghcr.io/goplasmatic/orion:latest

curl --retry 10 --retry-delay 1 --retry-connrefused \ http://localhost:8080/healthz

2. Inspect and deploy the example

curl -fsSLo /tmp/orion-quickstart.sh \

https://raw.githubusercontent.com/GoPlasmatic/Orion/main/examples/quickstart.sh less /tmp/orion-quickstart.sh bash /tmp/orion-quickstart.sh

The script makes four administration calls: it creates and activates a workflow, then creates and activates its channel. It finishes with a test request and is safe to run again. From a cloned repository, run ./examples/quickstart.sh instead.

3. Call your service

curl -fsS -X POST http://localhost:8080/api/v1/data/orders \

-H 'Content-Type: application/json' \ -d '{ "data": { "order_id": "ORD-0001", "total": 12500 } }'

The response contains the parsed order with "flagged": true. The workflow holds the business logic; the channel exposes it at POST /orders. Routing, validation, tracing, and lifecycle management are supplied by Orion.

For expected output, troubleshooting, Windows-friendly installation paths, and cleanup instructions, follow the complete quickstart.

The core model

flowchart LR

Request["HTTP request, Kafka record, or schedule"] --> Channel Channel["Channel route + ingress policy"] --> Workflow Workflow["Workflow ordered business logic"] --> Connector Connector["Connector external system"] Workflow --> Response["Response or stored trace"]

Primitive	Purpose	Example
Channel	Receives traffic and applies ingress policy	`POST /orders`, Kafka topic, `0 15 2 * * *` `order.placed`
Workflow	Runs the business logic as an ordered task pipeline	Parse → validate → enrich → respond
Connector	Provides a reusable connection to an external system	PostgreSQL, Redis, Kafka, REST API

The definitions belonging to one service can be shipped together as a package. One Orion instance can run many packages side by side, each with its own lifecycle and rollout.

How Orion works explains request execution, composition, deployment topology, and extension boundaries in one page.

What you can build

Microservice and decision APIs: expose transformations, validation, pricing, eligibility, and routing decisions over HTTP.
Webhook and data-ingestion services: normalize incoming payloads and read or write external systems through governed connectors.
Kafka consumers: process records, publish results, and route failed messages to a dead-letter topic.
AI-agent tools: expose governed HTTP operations that an assistant can draft, dry-run, activate, and roll back using the Orion CLI and agent skill.
Scheduled jobs: run a workflow on a cron expression instead of on a request, with every scheduled instant recorded as a durable occurrence.
Composable services: call another channel in-process with channel_call, while preserving the callee's guards and preventing cycles.

Choose a focused path in What are you building?, or deploy a tested package from examples/packages/.

Runtime capabilities

Area	Included capability
Traffic	REST, plain HTTP, synchronous and asynchronous channels, Kafka ingress, cron schedules
Safety	Payload validation, API-key/HMAC/JWT channel auth, rate limiting, backpressure, CORS controls
Resilience	Timeouts, retries, circuit breakers, idempotency, response caching, dead-letter handling
Delivery	Drafts, immutable versions, dry-runs, percentage rollout, rollback, packages, WebAssembly plugins, ONNX models admitted before they serve
Observability	Health and readiness endpoints, Prometheus metrics, structured logs, OpenTelemetry traces
Data	PostgreSQL, MySQL, SQLite, MongoDB, Elasticsearch, Redis, Kafka, HTTP, SMTP, S3-compatible storage
Operations	Embedded SQLite for one node; PostgreSQL/MySQL and Redis for clustered replicas

Configuration is explicit, and several production controls are permissive or disabled for local development. In particular, data channels are open unless they declare authentication or sit behind an authenticating proxy. Before exposing an instance, work through the production checklist.

Safe changes, including AI-generated ones

flowchart LR

Author --> Draft --> Validate --> DryRun["Dry-run"] --> Activate --> Rollout --> Observe Observe -->|problem| Rollback

Workflow, channel, and connector definitions use the same governed lifecycle regardless of who authored them. A draft serves no traffic. You can validate and dry-run it, approve the exact version, activate it without restarting the server, roll traffic out by percentage, and return to a previous immutable version. Administrative changes are recorded in the audit log.

For AI-assisted authoring, install the Orion agent skill or use the self-contained prompt pack. The Claude Code tutorial walks through a complete assisted workflow.

When Orion fits

Orion fits services whose work starts with an HTTP request or Kafka record, completes as a bounded pipeline, and can be expressed with Orion's task functions and JSONLogic. It is especially useful when many small services need the same operational and governance foundation.

Choose another runtime, or pair one with Orion, when:

work must survive restarts at an intermediate step or wait hours or days;
ingress requires gRPC, WebSockets, or streaming responses;
business logic requires arbitrary code with I/O, or a scripting runtime — a pure transformation ships as a sandboxed WebAssembly plugin, anything that has to reach another system does not;
image processing, GPU-class inference, or large in-memory joins sit on the hot path — a small ONNX graph runs in-process as a governed model, a large one does not; or
full OIDC flows or mutual TLS must terminate inside the data plane. JWT verification is built in; those flows require a gateway or service mesh.

Read Is Orion right for you? for detailed comparisons with durable execution engines, API gateways, automation platforms, rule engines, and embedded dataflow-rs.

Install

The current workspace release is 1.12.0 and requires Rust 1.98 when built from source. The server and CLI are released in lockstep; use matching versions.

# Homebrew: macOS Apple Silicon and Linux

brew install GoPlasmatic/tap/orion-server brew install GoPlasmatic/tap/orion-cli

Server from source

cargo install --git https://github.com/GoPlasmatic/Orion --locked orion-server

Server and CLI from source

cargo install --git https://github.com/GoPlasmatic/Orion --locked \ orion-server orion-cli

Release installers are also available for Linux, macOS Apple Silicon, and Windows. See Install & Run for every method, platform support, startup, and verification.

Useful local commands:

orion-server validate-config -c config.toml

orion-server fmt ./definitions orion-server lint workflow.json orion-server clippy ./definitions orion-server dry-run -w workflow.json -i input.json orion-server test examples/workflow-tests orion-server compile ./definitions -o package.json orion-server package apply -s http://localhost:8080 -f package.json

The server command reference and Orion CLI reference list all commands and flags.

Performance

The published Orion 1.0.0 benchmark measured 5.1K–5.7K workflow requests per second on one Apple M2 Pro instance, with single-digit-millisecond average latency across the recorded workflow scenarios. These are release- and workload-specific results, not capacity guarantees. Review the benchmark record for hardware, scenarios, tail latency, cluster results, and reproduction steps.

Documentation

The full manual is at [docs.goplasmatic.io](https://docs.goplasmatic.io/).

Goal	Start here
Try Orion	Quickstart
Understand the model	How Orion works
Build a complete service	Orders API golden path
Find an exact schema	Reference index
Deploy and operate	Operate Orion
Secure production	Production checklist
Upgrade safely	Upgrades
Check compatibility	Support & compatibility

The documentation source lives in docs/src/. Edit that directory, not the generated docs/book/ output. See docs/STYLE_GUIDE.md for its structure and editorial conventions.

Project and community

Orion UI provides the browser-based operations console.
[orion-cli](crates/orio

Only the beginning is shown; read the rest in the repo

Orion

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

EmbeddedCI BenchPod

README from the maker

Orion

Quickstart

1. Start Orion

2. Inspect and deploy the example

3. Call your service

The core model

What you can build

Runtime capabilities

Safe changes, including AI-generated ones

When Orion fits

Install

Server from source

Server and CLI from source

Performance

Documentation

Project and community