MCP Comparison
Compare features, tools, and capabilities of these MCP servers side by side.
plugged.in MCP Hub — Proxy · Knowledge · Memory · Tools
The plugged.in MCP Proxy Server operates as a central hub that aggregates multiple Model Context Protocol (MCP) servers into a single, unified interface. It orchestrates knowledge, memory, and tools across connected MCPs, enabling clients to query documents, manage memory, and invoke tools from various servers through one connection. With support for STDIO, Server-Sent Events (SSE), and Streamable HTTP transports, it enables seamless integration with popular MCP clients like Claude Desktop, Cline, and Cursor while providing policy, telemetry, and registry features for scalable deployments. This proxy fetches tool, prompt, and resource configurations from the plugged.in App APIs and exposes a unified catalog of capabilities. It supports static built-in tools, memory clipboard operations, and dynamic tools discovered from connected MCP servers, including tool discovery, RAG-based search, document management, and notifications. The hub also offers configuration options for HTTP transport, authentication, and session management, making it possible to run as a stateless HTTP service or a stateful STDIO proxy, with optional API-key protection for HTTP endpoints.
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 | plugged.in MCP Hub — Proxy · Knowledge · Memory · Tools | openai-gpt-image-mcp |
|---|---|---|
| Verified | ||
| Official | ||
| Tools Available | 17 | 2 |
| Has Installation Guide | ||
| Has Examples | ||
| Website | ||
| Source Code |
- pluggedin_discover_tools
- pluggedin_ask_knowledge_base
- pluggedin_send_notification
- pluggedin_create_document
- pluggedin_list_documents
- pluggedin_search_documents
- pluggedin_get_document
- pluggedin_update_document
- pluggedin_clipboard_set
- pluggedin_clipboard_get
- +7 more tools
- create-image
- edit-image
Can't decide? Check out both MCP servers for more details.