glaxnimate-mcp-server
Provides tools for inspecting SVG artwork and adding SMIL animations (translation, rotation, scale, opacity, path morphs, and stroke-dashoffset) to SVG elements with stable IDs.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@glaxnimate-mcp-serverAdd a rotation animation to the gear icon and return both versions."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Glaxnimate-compatible SVG animation MCP
This local MCP server inspects SVG artwork and adds SMIL keyframes to elements with stable IDs. It is designed for an LLM workflow: generate structured SVG, inspect its groups, add motion, then open the result in Glaxnimate or use it directly on the web.
Glaxnimate has a headless Python API in its source tree, but the published Python package is currently Windows-only. This server therefore uses portable SVG animation primitives instead of pretending to control a Glaxnimate installation that is not available. The generated SVG files remain editable in Glaxnimate.
Tools
glaxnimate_inspect_svglists SVG IDs and the elements they refer to.glaxnimate_animate_svgadds SMIL animation for translation, rotation, scale, opacity, path morphs, and stroke-dashoffset.
glaxnimate_animate_svg returns both an animated SVG and the original SVG for reduced-motion handling. Use the static version when the host page detects prefers-reduced-motion: reduce.
Related MCP server: text2animate
Install
This project requires Python 3.11 or newer. From a checkout of the repository, create a virtual environment and install the package:
python -m venv .venv
. .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install .Configure your MCP client to launch glaxnimate-mcp over stdio. For clients that accept a JSON configuration, the command is:
{
"command": "glaxnimate-mcp"
}Verification
Run the unit tests from the repository root:
PYTHONPATH=src python -m unittest discover -s tests -vLicense
Available Tools
2 toolsglaxnimate_animate_svgA
Add standards-based SMIL keyframes to a custom SVG.
Each animation needs target_id, property, and values. Property is translate, rotate, scale, opacity, path, or stroke-dashoffset. Use values such as ["0 0", "120 0"] for translate, ["0", "1"] for opacity, or compatible SVG path data for path. duration_ms, begin_ms, repeat_count, and key_times are optional.
The response contains animated_svg for the normal experience and the unchanged reduced_motion_svg for consumers that honor prefers-reduced-motion.
| Name | Required | Description | Default |
|---|---|---|---|
| svg | Yes | ||
| animations | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the output shape (animated_svg plus unchanged reduced_motion_svg), the required animation fields, allowed property types, and optional timing parameters. It does not discuss error behavior, but the main behavioral surface is transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and information-dense: one sentence states purpose, one lists required and optional animation keys, one gives value examples, and one states the response fields. Every sentence earns its place and nothing is padded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the minimal input schema, the description is unusually complete: an agent knows how to construct the animations array and what to expect in the response. The only minor gap is the absence of explicit value formatting for rotate and scale, but the stated examples and property list are sufficient for a competent call.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and the animations array items are completely open objects (additionalProperties: true). The description compensates by defining exactly what each animation needs: target_id, property, values, plus optional duration_ms, begin_ms, repeat_count, and key_times. It also gives concrete value examples for translate, opacity, and path, without which the tool would be nearly uninvokable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource: 'Add standards-based SMIL keyframes to a custom SVG.' This clearly distinguishes it from the sibling glaxnimate_inspect_svg, which is for inspection rather than animation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The tool is clearly scoped to modifying/annotating an SVG with SMIL keyframes. It does not explicitly say 'use inspect_svg when you only need to inspect,' but the sibling name and the action verb make the divide obvious enough that an agent can choose correctly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
glaxnimate_inspect_svgA
Inspect an SVG and list the element IDs that can receive animation keyframes.
Give generated artwork stable, semantic IDs such as character, arm-left, eye-right, or background before calling this tool. The result confirms which IDs are available.
| Name | Required | Description | Default |
|---|---|---|---|
| svg | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavior disclosure. It describes a read-only inspection and the outcome, but does not explicitly state that the SVG is not modified, nor does it mention edge cases like missing IDs or invalid SVG input.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, front-loaded with the core purpose, and adds one actionable pre-call instruction. Every sentence contributes value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter inspection tool with an output schema, the description provides enough context: what the tool does, what input it expects conceptually, and how to prepare artwork for useful results. It does not need to detail return values because an output schema exists.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the undocumented 'svg' parameter. It only says 'Inspect an SVG' and references generated artwork, but does not clarify expected SVG format, source, or how the parameter should be provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific action ('Inspect an SVG') and a concrete result ('list the element IDs that can receive animation keyframes'). This distinguishes it from the sibling glaxnimate_animate_svg, which presumably performs animations rather than inspecting them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives explicit pre-call guidance: assign stable semantic IDs before invoking the tool. It implies the tool is used to confirm available animation targets, though it does not explicitly name alternatives or describe when not to use it.
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.
2 tool updates
v0.1.0- First observed
glaxnimate_animate_svg - First observed
glaxnimate_inspect_svg
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one inspects the SVG to list available element IDs, and the other adds animations to those elements. There is no overlap or ambiguity.
Both tools follow the same glaxnimate_ verb_noun pattern (inspect_svg, animate_svg), making the naming predictable and consistent.
Two tools feels thin for a full animation server, but the narrow workflow of inspect-then-animate is sufficiently focused for a minimal purpose. It sits at the borderline end of the scale.
The core workflow (identify targets, add keyframes) is covered, but there are no tools for removing or updating existing animations, or for managing animation timelines. This leaves notable gaps for iterative editing.
Maintenance
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