@particlr/mcp
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
@particlr/mcp
Source: https://github.com/brac/particlr-mcp (MIT).
An MCP server that lets coding agents author particlr
.prt particle effects headlessly, with a real feedback loop instead of blind
JSON generation: validate against the actual parse/migrate/validate pipeline,
simulate deterministically in Node, render frames to PNG with a CPU
rasterizer, and iterate by patching — no browser, no GPU, no flakiness.
Everything is deterministic: the same document, seed, and dt sequence produce
the same simulation state and the same pixels, so a diff between two renders
is a real diff. Effects authored here play back byte-for-byte in
@particlr/runtime
(PixiJS v8/v7) and open in the particlr editor.
Setup
Requires Node >= 20. For Claude Code, add to .mcp.json (or for any MCP
client, the equivalent stdio server config):
{
"mcpServers": {
"particlr": {
"command": "npx",
"args": ["-y", "@particlr/mcp"]
}
}
}Related MCP server: clayform
The loop
An agent authoring an effect works this cycle:
get_reference("authoring-guide")— how to make a.prtlook good: units, layer recipes, blend idioms, common mistakes."format-spec"and"schema"are the normative references.list_presets/get_preset— 71 CC0 effects (explosions, fire, smoke, shields, trails, weather…) as a few-shot corpus. Pull the closest one and mutate it.open_effect— validate and store the doc under a session handle.patch_effect— iterate by sending only RFC 6902 diffs (replace/add/remove), all-or-nothing with rollback on any error.simulate_effect— the cheap loop: per-layer live counts over time, peak vs capacity, spatial bounds, completion time, and a reproducible statehash.render_effect— see it: a 16-frame auto-framed contact sheet PNG by default, or individual frames at chosen times.overrunSecondsrenders past the duration to check loop seams.get_effect— pull the canonical.prttext for delivery.
Tools
Tool | What it does |
| Parse → migrate → validate; canonical doc or path-anchored errors |
| Deterministic headless sim: counts, bounds, completion, statehash |
| CPU-rasterize to PNG frame(s) or a contact sheet |
| Store a doc under a session handle for iteration |
| Apply RFC 6902 ops to a stored doc, re-validate, rollback on failure |
| Fetch the canonical stored |
| The shipped preset corpus |
| Authoring guide, format spec, or JSON Schema, inline |
What the renderer is (and isn't)
render_effect is a deterministic software rasterizer built for agent
iteration: all builtin and embedded-PNG textures, all five blend modes,
flipbooks, stretch/velocity-align, per-particle and connect-ribbon trails,
and layer draw order. It is structurally faithful to the GPU preview, not
pixel-identical to it. Two things it does not show: the dissolve module is
not rasterized, and the emitter never moves headlessly, so world-space trails
that depend on emitter motion read as local. Judge those in the
editor — effects round-trip losslessly.
Session handles live only for the server process; export with get_effect
before disconnecting.
License
MIT
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Deterministic image rendering for agents: JSON template in, on-brand PNG out.
Blender and GLB/FBX/USD/STL rendered on cloud GPUs for AI agents: product shots, turntables, MP4
Build and run visual creative-production workflows from your AI agent.
Parametric 3D CAD for AI agents: build print-ready parts, check them, export STL, 3MF or STEP.
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to model, sculpt, rig, animate and bake particle effects by editing a semantic scene document, with built-in software rendering, measurable critics that flag floating or broken geometry, and game-ready glTF export. It exposes templates, atomic edit batches, motion and effect previews, undo history, and no GPU, browser, or Blender required.15 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables LLM and agent hosts to create and manipulate structured game-art documents through typed deterministic MCP operations, render them to SVG/PNG, validate output, inspect visuals, and make targeted edits toward reproducible, game-ready assets.Apache 2.0
- AlicenseAqualityCmaintenanceEnables LLM agents to author EisenScript procedural grammars and render them headlessly into Wavefront OBJ meshes, returning vertex/face counts and bounding boxes alongside validation, linting, PNG previews, mesh-format conversion, batch gallery rendering, and Unreal import.12MIT