Ros MCP Server

Ros Knowledge Network

Local serverstdioPython

What is the Ros MCP server?

Most developer tooling work still happens through a UI a human drives. Ros MCP server moves it into the conversation instead. Ros Knowledge Network.

The short version

Ros executes graphs of queries to cooperatively compose knowledge networks.

The tools it exposes

The server publishes 11 tools. What each one is for:

  • Usage — Running a workflow locally from the command line produces output like this:
  • Overview — A workflow is a series of steps. Steps can reference the output of previous steps. In general they have access to a shared graph. They can also
  • Variables — Variables passed to the workflow at the command line or via the API can be resolved dynamically. In this example, $disease_name refers to an argument
  • Operators — The workflow is organized around graph operators. Each has access to all facilities of the Ros framework including the shared graph
  • Graphs — Each operator receives an event object provided by the Ros framework. The event provides framework services including the shared graph, graph
  • Metadata — The language supports a metadata capability to enable modules to specify their inputs and outputs
  • Templates — Templates allow extension of the language by specializing existing library functions into new capabilities through composition. Templates are defined
  • Modules — A library path like those featured in other high level programming languages governs where libraries are loaded from
  • Requirements — The Requirements tool exposed by this server
  • NDEx — The NDEx tool exposed by this server
  • Help — optional arguments: -h, --help show this help message and exit -a, --api URL of the remote Ros server to use. (default: False) -w WORKFLOW

What it needs from you

  • Docker - i.e. the Docker servie is running. * Docker Compose (included with Docker on Mac) * Git * Ports 7474, 7687, 6379, and 5002 available * Python 3.7.x

Getting it running

The server ships on PyPI as ros, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Ros's toolset — Usage, Overview, Variables and 8 more — is a fair guide to whether it matches your workflow. It is maintained by Steve Cox; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 11 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Ros.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
UsageRunning a workflow locally from the command line produces output like this:
OverviewA workflow is a series of steps. Steps can reference the output of previous steps. In general they have access to a shared graph. They can also exchange sub-graphs. Steps can have associated metadata describing their all
VariablesVariables passed to the workflow at the command line or via the API can be resolved dynamically. In this example, $disease_name refers to an argument provided by the execution context to this workflow. The provided value
OperatorsThe workflow is organized around graph operators. Each has access to all facilities of the Ros framework including the shared graph.
GraphsEach operator receives an event object provided by the Ros framework. The event provides framework services including the shared graph, graph manipulation tools, and arguments to the invocation of the operator.
MetadataThe language supports a metadata capability to enable modules to specify their inputs and outputs.
TemplatesTemplates allow extension of the language by specializing existing library functions into new capabilities through composition. Templates are defined in a template section separate from the workflow proper. They can also
ModulesA library path like those featured in other high level programming languages governs where libraries are loaded from.
RequirementsThe Requirements tool exposed by this server.
NDExThe NDEx tool exposed by this server.
Helpoptional arguments: -h, --help show this help message and exit -a, --api URL of the remote Ros server to use. (default: False) -w WORKFLOW, --workflow WORKFLOW Workflow to execute. (default: workflow_one.ros) -s SERVER,

How to install the Ros MCP server

{
  "mcpServers": {
    "ros-1": {
      "command": "uvx",
      "args": ["ros"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Docker - i.e. the Docker servie is running. * Docker Compose (included with Docker on Mac) * Git * Ports 7474, 7687, 6379, and 5002 available * Python 3.7.x

Example prompts to try

  • Use Ros to Usage.
  • Use Ros to Overview.
  • Use Ros to Variables.

Frequently asked questions

It connects Ros to MCP-compatible AI assistants such as Claude and Cursor, exposing 11 tools (Usage, Overview, Variables, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Ros directly.