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spz-mcp

CI Python License: MIT

An MCP server that lets an LLM agent drive StableProjectorz — inspect the loaded 3D model, read the app's state, look at the viewport, and trigger UI actions.

It talks to the agent bridge built into the app: a loopback-only JSON socket.

Claude Code / Claude Desktop  ──MCP(stdio)──►  spz-mcp  ──TCP 127.0.0.1:8765──►  StableProjectorz

The server knows nothing about StableProjectorz

On every tools/list, it asks the running app for its catalogue via the bridge's describe command and republishes it as MCP tools, building each JSON Schema from the parameter descriptions the app supplies.

Nothing is hard-coded here. Adding a tool to the app does not require a new release of this server — which is exactly what allows the app and this server to live in separate repositories without drifting apart.

Related MCP server: BlenderMCP

Setup

1. Enable the bridge in StableProjectorz

Add this to spz.config, next to the executable (or at the project root when running from the Unity Editor), then restart the app:

--agent-bridge

Optional:

--agent-bridge-port=8765
--agent-bridge-token=some-secret   # pins your own secret; normally unnecessary

The Unity console should log [SPZ_Agent_Bridge] listening on 127.0.0.1:8765.

About the token. The bridge requires one on every request. If you don't pin one, the app generates a secret on first launch and writes it to %LOCALAPPDATA%/StableProjectorz/agent-bridge.token (~/.local/share/... elsewhere). This server reads that same file, so there is nothing to configure — and because it re-reads until it finds one, starting this server before the app is fine.

2. Register the server

Claude Code:

claude mcp add spz -- uvx --from git+https://github.com/redDwarf03/spz-mcp spz-mcp

Claude Desktop — in claude_desktop_config.json:

{
  "mcpServers": {
    "spz": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/redDwarf03/spz-mcp", "spz-mcp"]
    }
  }
}

For a non-default port, add "env": {"SPZ_PORT": "8765"}. The token is picked up automatically.

From a local checkout

pip install -e ".[dev]"
spz-mcp --port 8765

Tools

The list comes from the app at runtime. With the current bridge you get:

Tool

What it does

describe

Protocol version and tool catalogue

get_app_state

Version, WebUI connections, loaded model, UDIM tiles, selection, generation status

get_viewport_screenshot

Viewport capture, returned as a real MCP image the agent can see

list_generations

Stored generation counts per kind, and the latest GUID

list_events

Every registered StaticEvents id and its parameter types

invoke_event

Fire a StaticEvents id, as the matching UI control would

Plus one tool this server adds itself:

Tool

What it does

spz_bridge_status

Whether the app is reachable, and how to enable the bridge if not

spz_bridge_status is also the only tool published while the app is down, so an agent can diagnose the situation instead of finding an unexplained empty toolbox.

Options

Flag

Env

Default

--host

SPZ_HOST

127.0.0.1

--port

SPZ_PORT

8765

--token

SPZ_TOKEN

read from the token file

--token-file

SPZ_TOKEN_FILE

the app's well-known location

Protocol

One JSON object per line over TCP:

->  {"id":"1","tool":"get_app_state","params":{}}
<-  {"id":"1","ok":true,"result":{"app_version":"2.4.5","sd_connected":true, ...}}
<-  {"id":"1","ok":false,"error":"unknown tool 'foo'. Call 'describe' for the catalogue."}

The app serves one request at a time per connection, so this client serialises calls behind a lock rather than multiplexing on id.

Notes and limits

  • The bridge is opt-in and loopback-only, but it is an unauthenticated local control channel unless you set a token. Any process on the machine can connect. Enable it only while you are using it.

  • Screenshots wait on an async GPU readback, so they can take a moment; overlapping captures are rejected rather than left hanging.

  • Managers in the app live in additively-loaded scenes, so calls made during startup may report that a subsystem is not ready yet.

Tests

pip install -e ".[dev]"
pytest

The suite runs a fake bridge over a real TCP socket, so the client is exercised end to end without needing StableProjectorz running. Each test has a 30 s timeout: these all talk to a local socket and finish in milliseconds, so a hang is a bug and should fail rather than block the suite.

Linting and formatting use ruff:

ruff check .
ruff format .

CI/CD

ci.yml runs on every push to main and every pull request:

  • lintruff check and ruff format --check

  • test — Python 3.10 through 3.14 on Linux, plus one Windows leg (the app this server drives is Windows-first)

  • build — builds the wheel and sdist and validates the metadata with twine check

release.yml runs on a v* tag. It refuses to proceed if the tag does not match the version in pyproject.toml, then builds and attaches the distributions to a GitHub release with generated notes.

Publishing to PyPI is off by default, since the server installs fine straight from git. To enable it:

  1. claim the spz-mcp name on PyPI

  2. add a trusted publisher for this repo, workflow release.yml, environment pypi

  3. set the repository variable PUBLISH_TO_PYPI to true

No token is stored anywhere — publishing authenticates over OIDC.

License

MIT — see LICENSE.

The StableProjectorz app itself is AGPL-3.0. This server is a separate program that communicates with it over a socket, and is deliberately kept in its own repository so it can be reused and relicensed independently.

Available Tools

1 tool
spz_bridge_statusCheck the StableProjectorz bridgeA
Read-onlyIdempotent

Check whether StableProjectorz is reachable and report how to enable the agent bridge. Use this when the other tools are missing or failing.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds value by explaining that the tool not only checks reachability but also reports how to enable the bridge, which is a behavioral detail beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the core action, and contains no filler. Every word is purposeful, making it highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no params, no output schema), the description provides sufficient context: what it checks, what it reports, and when to use it. There is no missing information for the agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, so the description is not required to explain param semantics. The baseline for 0 params is 4, and the description is consistent with that by not introducing any ambiguous parameter references.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Check') and clearly identifies the resource ('StableProjectorz reachability') and what it returns ('report how to enable the agent bridge'). It is distinct and unambiguous, even without sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit usage guidance is provided: 'Use this when the other tools are missing or failing.' This tells the agent exactly when to invoke this tool, which is strong guidance for a tool with no siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedspz_bridge_status

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap. The tool's purpose is clearly limited to checking bridge status, and no other tools exist to compete with it.

Naming Consistency4/5

The single tool name 'spz_bridge_status' is descriptive and clear. It does not follow a verb_noun pattern, but with only one tool there is no inconsistency to penalize.

Tool Count1/5

At just one tool, the server is severely under-scoped. The tool description references 'other tools' that are expected to exist, but they are absent, so the count is far too low for the apparent purpose of managing a StableProjectorz bridge.

Completeness1/5

The tool only reports status and suggests how to enable the bridge; there are no tools to actually enable, configure, or interact with StableProjectorz. This is a severely incomplete surface, as agents cannot perform any meaningful operations beyond checking availability.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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