MCP server for image/video understanding & generation (Gemini/OpenAI/Grok)
Connect Imagine to Claude, Cursor or any other MCP client and it stops being a tab you switch to. MCP server for image/video understanding & generation (Gemini/OpenAI/Grok). The imagine mcp server is what makes that connection.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
understand — --generate — --config — setup_status, setup_skip, setup_reset, setup_complete, warmup, status, set, cache_clear (relay_status/relay_skip/relay_reset/relay_complete honoredhelp — --config__open_relay — --Configuration is passed through the environment: GEMINI_API_KEY, UNDERSTAND_MODELS, OPENAI_API_KEY, PUBLIC_URL, MCP_DCR_SERVER_SECRET, XAI_API_KEY, YOUR_ACCOUNT_ID, ACCOUNT_ID. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Imagine's toolset — understand, generate, config and 2 more — is a fair guide to whether it matches your workflow. It is maintained by n24q02m; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| understand | -- |
| generate | -- |
| config | setup_status, setup_skip, setup_reset, setup_complete, warmup, status, set, cache_clear (relay_status/relay_skip/relay_reset/relay_complete honored as deprecated aliases) |
| help | -- |
| config__open_relay | -- |
{
"mcpServers": {
"imagine": {
"command": "uvx",
"args": ["imagine-mcp"],
"env": {
"UNDERSTAND_MODELS": "gemini/<model-id>,openai/<model-id>",
"GEMINI_API_KEY": "AIza...",
"OPENAI_API_KEY": "sk-..."
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| UNDERSTAND_MODELS | Configuration value read at startup. | Optional |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| PUBLIC_URL | Endpoint or connection string the server talks to. | Yes |
| MCP_DCR_SERVER_SECRET | Credential the server authenticates with. | Yes |
| XAI_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_ACCOUNT_ID | Configuration value read at startup. | Optional |
| ACCOUNT_ID | Configuration value read at startup. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.