Development MCP Servers (dev-mcp-servers)

This repository provides high-quality Model Context Protocol (MCP) servers for third-party AI services:

• ElevenLabs MCP Server (elevenlabs): Text-to-speech, sound effect generation, listing available voices, and user character usage limits.
• Meshy.ai MCP Server (meshy): Text-to-3D preview & refine, Text-to-Image concept art, Image-to-3D, Rigging, Animation, and Model downloading.

Features

Request Preview Mode (Dry-Run / Token Cost Prevention)

All tools support Request Preview Mode so you can inspect the precise HTTP target URL, method, headers, and request payload without triggering remote API calls or burning credits/tokens.

Request Preview mode can be activated in two ways:

1. Tool Argument: Pass "preview": true in the tool input arguments when invoking any tool.
2. Environment Variable: Set REQUEST_PREVIEW=1 (or PREVIEW_MODE=1 / DRY_RUN=1) in your environment.

When active, the tool response returns a structured JSON summary of the request instead of executing the remote HTTP call.

Setup & Installation

git clone /home/gemini/repos/dev-mcp-servers
cd dev-mcp-servers
npm install

Running Tests

Run the full test suite using Node's native test runner:

npm test

Or test individual MCP servers:

npm run test:elevenlabs
npm run test:meshy

Antigravity Integration

In ~/.gemini/config/mcp_config.json:

{
  "mcpServers": {
    "elevenlabs": {
      "command": "node",
      "args": ["/home/gemini/repos/dev-mcp-servers/elevenlabs/server.js"],
      "env": {
        "ELEVENLABS_API_KEY": "your_api_key_here"
      }
    },
    "meshy": {
      "command": "node",
      "args": ["/home/gemini/repos/dev-mcp-servers/meshy/server.js"],
      "env": {
        "MESHY_API_KEY": "your_api_key_here"
      }
    }
  }
}