MCP Comparison
Compare features, tools, and capabilities of these MCP servers side by side.
Graphiti MCP Server
Graphiti MCP Server is an experimental implementation that exposes Graphiti's real-time, temporally-aware knowledge graph capabilities through the MCP (Model Context Protocol) interface. It enables AI agents and MCP clients to interact with Graphiti's knowledge graph for structured extraction, reasoning, and memory across conversations, documents, and enterprise data. The server supports multiple backends (FalkorDB by default and Neo4j), a variety of LLM providers (OpenAI, Anthropic, Gemini, Groq, Azure OpenAI), and multiple embedder options, all accessible via an HTTP MCP endpoint at /mcp/ for broad client compatibility. It also includes queue-based asynchronous episode processing, rich entity types for structured data, and flexible configuration through config.yaml, environment variables, or CLI arguments.
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 | Graphiti MCP Server | openai-gpt-image-mcp |
|---|---|---|
| Verified | ||
| Official | ||
| Tools Available | 9 | 2 |
| Has Installation Guide | ||
| Has Examples | ||
| Website | ||
| Source Code |
- add_episode
- search_nodes
- search_facts
- delete_entity_edge
- delete_episode
- get_entity_edge
- get_episodes
- clear_graph
- get_status
- create-image
- edit-image
Can't decide? Check out both MCP servers for more details.