fusion_transform
Transform data between formats using fusion algorithms for enhanced analysis and processing with statistical, machine learning, or hybrid methods.
Instructions
Transform data using fusion techniques
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Input data to transform | |
| target_format | Yes | Target format for transformation |
Implementation Reference
- src/index.js:114-133 (handler)Executes the fusion_transform tool: destructures input and target_format, simulates transformation by prefixing input with uppercase target_format in brackets, and returns formatted result as text content.
async handleTransform(args) { const { input, target_format } = args; // Simulate transformation const result = { original: input, transformed: `[${target_format.toUpperCase()}] ${input}`, format: target_format, timestamp: new Date().toISOString(), }; return { content: [ { type: "text", text: `Transformation complete:\n${JSON.stringify(result, null, 2)}`, }, ], }; } - src/index.js:56-73 (schema)Tool definition in listTools response: name, description, and input schema requiring 'input' (string) and 'target_format' (string).
{ name: "fusion_transform", description: "Transform data using fusion techniques", inputSchema: { type: "object", properties: { input: { type: "string", description: "Input data to transform", }, target_format: { type: "string", description: "Target format for transformation", }, }, required: ["input", "target_format"], }, }, - src/index.js:82-89 (registration)Dispatch logic in CallToolRequestSchema handler: switch on tool name routes 'fusion_transform' to the handleTransform method.
switch (name) { case "fusion_analyze": return await this.handleAnalyze(args); case "fusion_transform": return await this.handleTransform(args); default: throw new Error(`Unknown tool: ${name}`); }