tracktion-engine-mcp
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., "@tracktion-engine-mcp find documentation for the AudioTrack class"
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.
Tracktion Engine MCP
An MCP (Model Context Protocol) server that provides AI assistants with access to Tracktion Engine API documentation.
Installation
npm install
npm run setup # Clones Tracktion Engine and parses headers
npm run buildRelated MCP server: HISE MCP Server
Usage with Claude Code
Add to your Claude Code MCP settings:
{
"mcpServers": {
"tracktion-engine": {
"command": "node",
"args": ["/path/to/tracktion-engine-mcp/dist/index.js"]
}
}
}Tools
search_te_classes
Search for Tracktion Engine classes by name or description.
query: "track"
limit: 10get_te_class_docs
Get detailed documentation for a specific class.
className: "AudioTrack"Development
npm run dev # Run with tsx (no build needed)
npm run parse-headers # Re-parse TE headers
npm run build # Build for productionUpdating API Data
To update the API documentation after Tracktion Engine updates:
cd tracktion_engine && git pull
cd .. && npm run parse-headersLicense
MIT
Available Tools
2 toolsget_te_class_docsA
Get detailed documentation for a specific Tracktion Engine class
Inputs: className (required).
search_te_classesC
Search for Tracktion Engine classes by name or description
Inputs: query (required), limit.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 2 tools
Search and get-docs are clearly distinct operations: one discovers classes via query, the other retrieves detailed documentation for a specific class. No overlap or ambiguity.
Both tool names follow a consistent verb_noun pattern with the 'te' prefix (search_te_classes, get_te_class_docs), making the naming uniform and predictable.
Two tools is minimal but defensible for a focused documentation lookup server. It feels slightly thin, but the pair covers the essential search-and-retrieve workflow.
The search and get-docs pair forms a complete workflow for browsing class documentation. No critical operations like listing or cross-referencing are obviously required for the stated purpose.
Maintenance
Related MCP Connectors
Search and query nTop's knowledge base and engineering guides from AI applications.
Versioned documentation registry and semantic search for AI tools and coding assistants.
Tailor Platform for AI assistants: search, list and read the platform documentation.
Search the official docs of Claude Code, Cursor, OpenAI Codex and MCP, refreshed daily.
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