MCP Comparison
Compare features, tools, and capabilities of these MCP servers side by side.
MCP Server Templates (Legacy)
MCP Server Templates (Legacy) is a flexible platform that provides Docker and Kubernetes backends, a lightweight CLI (mcpt), and client utilities for seamless MCP integration. It enables you to spin up servers from templates, route requests through a single endpoint with load balancing, and support both deployed (HTTP) and local (stdio) transports — all with sensible defaults and YAML-based configs. This legacy variant lays the groundwork for MCP integrations, while offering a clear upgrade path to the newer MCP Platform. The project emphasizes migration guidance to keep existing configurations working as you move to enhanced architecture and capabilities.
openai-gpt-image-mcp
A Model Context Protocol (MCP) tool server designed for OpenAI's GPT-4o and gpt-image-1 image generation and editing APIs. This MCP server exposes image-generation capabilities via two primary tools, create-image and edit-image, enabling developers to generate images from prompts and perform inpainting, outpainting, or compositing edits with fine-grained prompt control. It also provides file-output options so generated content can be saved to disk or returned as base64, and it supports a range of MCP-compatible clients, including Claude Desktop, Cursor, VSCode, Windsurf, among others. Built on the MCP SDK and OpenAI and OpenAI-compatible tooling, this server offers a ready-to-run solution for integrating image APIs into MCP-enabled workflows.
| Feature | MCP Server Templates (Legacy) | openai-gpt-image-mcp |
|---|---|---|
| Verified | ||
| Official | ||
| Tools Available | 0 | 2 |
| Has Installation Guide | ||
| Has Examples | ||
| Website | ||
| Source Code |
No tools listed
- create-image
- edit-image
Can't decide? Check out both MCP servers for more details.