@chinchillaenterprises/mcp-ai-assistant/dist/index.js

MCP server for AI assistant with ElevenLabs text-to-speech integration

#!/usr/bin/env node
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
const index_js_1 = require("@modelcontextprotocol/sdk/server/index.js");
const stdio_js_1 = require("@modelcontextprotocol/sdk/server/stdio.js");
const types_js_1 = require("@modelcontextprotocol/sdk/types.js");
const zod_1 = require("zod");
const zod_to_json_schema_1 = require("zod-to-json-schema");
const index_js_2 = require("./tools/account/index.js");
const index_js_3 = require("./tools/tts/index.js");
const list_voices_js_1 = require("./tools/voice/list-voices.js");
const get_voice_js_1 = require("./tools/voice/get-voice.js");
const list_models_js_1 = require("./tools/voice/list-models.js");
const get_usage_js_1 = require("./tools/voice/get-usage.js");
const server = new index_js_1.Server({
    name: 'mcp-Ai-assistant',
    version: '1.0.0',
}, {
    capabilities: {
        tools: {},
    },
});
const allTools = [
    ...index_js_2.accountTools,
    ...index_js_3.ttsTools,
    list_voices_js_1.listVoicesTool,
    get_voice_js_1.getVoiceTool,
    list_models_js_1.listModelsTool,
    get_usage_js_1.getUsageTool
];
server.setRequestHandler(types_js_1.ListToolsRequestSchema, async () => ({
    tools: allTools.map(tool => ({
        name: tool.name,
        description: tool.description,
        inputSchema: tool.inputSchema ? (0, zod_to_json_schema_1.zodToJsonSchema)(tool.inputSchema) : { type: 'object', properties: {} },
    })),
}));
server.setRequestHandler(types_js_1.CallToolRequestSchema, async (request) => {
    const { name, arguments: args } = request.params;
    const tool = allTools.find(t => t.name === name);
    if (!tool) {
        throw new types_js_1.McpError(types_js_1.ErrorCode.MethodNotFound, `Unknown tool: ${name}`);
    }
    try {
        const validatedArgs = tool.inputSchema ? tool.inputSchema.parse(args || {}) : (args || {});
        return await tool.handler(validatedArgs);
    }
    catch (error) {
        if (error instanceof zod_1.z.ZodError) {
            throw new types_js_1.McpError(types_js_1.ErrorCode.InvalidParams, `Invalid arguments: ${error.errors.map(e => `${e.path.join('.')}: ${e.message}`).join(', ')}`);
        }
        throw error;
    }
});
async function runServer() {
    const transport = new stdio_js_1.StdioServerTransport();
    await server.connect(transport);
    console.error('AI Assistant MCP server running on stdio');
}
runServer().catch((error) => {
    console.error('Fatal error in main():', error);
    process.exit(1);
});
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