Mcp

Overview

Mcp is a Model Context Protocol server that lets you fine-tune a small model on your data and benchmark it against your LLM API, all running in your AWS account. Any MCP-compatible AI assistant can call Mcp's tools directly, letting the model decide when to use them during conversations or agent runs.

Mcp runs locally via the Python package synqtune-mcp, installed through uvx. It communicates over stdio and requires the SYNQTUNE_API_TOKEN environment variable for authentication. The latest release is v0.1.5.

Mcp is categorized under AI & Agents on mcp.site and integrates with all MCP clients including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and others. If you maintain this server, claim your listing to verify ownership and keep information up to date.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "command": "uvx",
      "args": [
        "synqtune-mcp"
      ],
      "env": {
        "SYNQTUNE_API_TOKEN": "<synqtune-api-token>"
      }
    }
  }
}

Requires SYNQTUNE_API_TOKEN