AI & Machine Learning

imaginode.ai

Generates images and videos from text prompts using AI models, with options for editing and reference images, and provides status updates for ongoing generations.

1 endpoint4 known toolsFirst detected August 25, 2026Last detected August 25, 2026

ENDPOINT 1

https://imaginode.ai/api/mcp

No auth detected

MCP server metadata

Name: imaginode
Version: 1.0.0

Capabilities

tools

Server instructions

Imaginode generates AI images and videos (Flux, Nano Banana, Seedance, Kling, Veo and more). Every generation costs credits from the connected imaginode.ai account and failed generations are refunded automatically. Get an API key at https://imaginode.ai/profile (verified account required). generate_image waits for the result; generate_video returns a request_id to poll with get_generation_status.

Known tools 4

list_models

List the available AI models with their kind (image, video), default cost in credits (1 credit = $0.

Inferred read-only

generate_image

Generate an image from a text prompt (optionally with input images for editing or reference).

Inferred read-only

generate_video

Start a video generation from a text prompt (optionally with a start image).

Inferred read-only

get_generation_status

Check a generation started with generate_video (or a generate_image that timed out).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.imaginode]
url = "https://imaginode.ai/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "imaginode": {
      "type": "http",
      "url": "https://imaginode.ai/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: imaginode
Remote MCP URL: https://imaginode.ai/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "imaginode": {
      "url": "https://imaginode.ai/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "imaginode": {
      "type": "http",
      "url": "https://imaginode.ai/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "imaginode",
  "transport": "streamable-http",
  "url": "https://imaginode.ai/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.