deepkolor-mcp

deepkolor-mcp

An MCP server enabling AI image and video generation through DeepKolor's API with 'generate_image', 'generate_video', and 'get_task' tools for asynchronous media creation.

Category
Visit Server

README

DeepKolor MCP

Use DeepKolor from Cursor, Claude, and other MCP-compatible clients to create AI images and videos through a small set of predictable tools.

DeepKolor is a conversational visual creation platform for AI image generation, photo editing, product photography, advertising creatives, portraits, posters, and video generation. The public DeepKolor Agent Skills help an agent choose the right visual workflow; this MCP server executes the final image or video task.

Visit https://deepkolor.ai to try the full visual creation experience, explore image and video workflows, and create an API key for MCP access.

Why DeepKolor MCP

  • Turn a prompt into a production-ready AI image or video task.
  • Use the same DeepKolor generation infrastructure behind the web product.
  • Keep prompts and visual workflows in your preferred AI client.
  • Retrieve generated media through a stable asynchronous task API.

The server is a thin MCP adapter. Generation, API key validation, credits, moderation, provider calls, task ownership, and storage remain in DeepKolor.

Tools

  • generate_image
  • generate_video
  • get_task

Generation is asynchronous. Call get_task with the returned task_id to retrieve the result URL.

Typical workflows

Product photography

Use generate_image for marketplace hero images, product lifestyle scenes, listing galleries, and e-commerce visuals. For workflow guidance, install the ecommerce-image-agent skill from DeepKolor Agent Skills.

Photo editing

Pass one or more public HTTPS image URLs to generate_image with image-to-image for controlled edits, background changes, or visual refinement.

AI video generation

Use generate_video for text-to-video or image-to-video workflows. The task returns immediately; poll with get_task until the video URL is available.

For the complete set of DeepKolor tools and visual workflows, start at deepkolor.ai.

Open Plugins

This repository is an Agent Plugins / Open Plugins package. Compatible clients discover the plugin manifest in plugin.json and the remote MCP server declaration in mcp.json.

The bundled configuration connects to the local Streamable HTTP server:

{
  "type": "streamable-http",
  "url": "http://127.0.0.1:8787/mcp"
}

Start the server with pnpm build && pnpm start before loading the plugin. Authentication is client-managed: set DEEPKOLOR_API_KEY for a local single-account server, or send Authorization: Bearer sk_... from a client that supports per-request credentials. Do not add an API key or any other secret to mcp.json.

Use a deployed server

For an HTTPS deployment, replace the local URL in mcp.json with the public Streamable HTTP endpoint:

{
  "type": "streamable-http",
  "url": "https://your-deployment.example/mcp"
}

Run locally

cp .env.example .env
pnpm install
pnpm build
pnpm start

The MCP endpoint is http://127.0.0.1:8787/mcp by default.

For a local single-account server, set DEEPKOLOR_API_KEY to an API key created in DeepKolor settings. For a shared remote server, MCP clients should send Authorization: Bearer sk_...; the server forwards that key per request. Never put Provider keys in this project.

Remote deployment

Deploy this server behind HTTPS and expose /mcp. Configure:

  • DEEPKOLOR_API_URL
  • DEEPKOLOR_API_KEY
  • MCP_HOST
  • MCP_PORT

The configured DeepKolor API key identifies the account used for all tool calls. Do not log it.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured