Orion

What orion MCP server does

The orion MCP server gives an AI agent access to Orion’s full administrative API through 53 tools. Orion is a declarative services runtime where a service is assembled from a workflow and a channel, with optional connectors for external systems. Workflows hold ordered business logic, channels receive HTTP requests, Kafka records, or scheduled invocations, and connectors provide access to systems such as databases, Redis, Kafka, REST APIs, SMTP, and S3-compatible storage.

An agent can use Orion’s administration model to create and manage service definitions instead of implementing a separate application server for each service. One Orion instance can host multiple packages, each with its own lifecycle and rollout state.

How it works

Orion definitions follow a controlled lifecycle. A draft does not serve traffic; it can be validated and dry-run before an exact version is approved and activated. Active versions can be rolled out by percentage, observed through metrics and traces, and reverted to an earlier immutable version when necessary. Administrative changes are recorded in an audit log.

The runtime supplies infrastructure around the declared logic, including routing, ingress controls, rate limits, timeouts, retries, circuit breakers, connection pooling, version management, metrics, and tracing. Channels can expose synchronous or asynchronous HTTP behavior, consume Kafka records, or invoke workflows on cron schedules. Workflow tasks can validate, transform, enrich, route, call another channel, and interact with configured connectors within Orion’s supported execution model.

The orion MCP server is therefore most useful when an agent must operate service definitions and their lifecycle through Orion, rather than write arbitrary application code or directly manage unrelated infrastructure.

Tools and capabilities

The listing describes 53 tools covering the full Orion admin API. Based on Orion’s documented administration model, this includes management of the resources and operations needed to:

• Define and manage workflows, channels, connectors, and packages.
• Validate definitions and perform dry runs before activation.
• Activate versions, control percentage rollouts, and roll back changes.
• Work with HTTP, Kafka, and scheduled service entry points.
• Configure behavior related to authentication, rate limiting, retries, caching, and dead-letter handling where supported by Orion.
• Inspect the operational state of services through Orion’s administrative surfaces.

Exact tool names, input schemas, and transport details are not provided in the supplied material, so those should be checked in the repository or generated MCP metadata before implementation.

Limitations and notes

Orion fits work that begins with an HTTP request or Kafka record and finishes as a bounded pipeline expressed with task functions and JSONLogic. It is not a general-purpose application runtime or a durable workflow engine. Work that must pause for hours or days, resume after an intermediate restart, or perform arbitrary I/O-heavy code needs another runtime or an additional system.

The documented runtime does not provide gRPC, WebSockets, or streaming responses. Full OIDC flows and mutual TLS termination require a gateway or service mesh; JWT verification is built in. Large image-processing workloads, GPU-class inference, and large in-memory joins are outside the intended hot path.

The quickstart runs Orion in Docker on port 8080 and uses administrative HTTP calls to deploy a sample order workflow and channel. Local defaults are permissive: data channels are open unless authentication is declared or an authenticating proxy is used. Production deployments should follow Orion’s production checklist before exposure.