Alpha Release — The MCP server is currently in alpha. You may encounter occasional issues or unexpected behavior as we continue to refine the service. We actively welcome feedback and bug reports — join the conversation on Discord.
In addition to the HTTP API, deAPI exposes an MCP (Model Context Protocol) server. This allows AI assistants, IDE extensions, and MCP-aware tools to call deAPI capabilities as structured tools instead of manually constructing HTTP requests.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI models and agents to interact with external tools and services in a structured way. Instead of crafting raw HTTP requests, your AI assistant discovers available tools and calls them using a standardized protocol.
With deAPI’s MCP server, Claude, ChatGPT, Cursor, and other MCP-compatible clients can:
- Generate images, videos, and audio directly within conversations
- Transcribe YouTube / X / Twitch / Kick videos or audio files
- Remove backgrounds and upscale images
- Check pricing before running expensive operations
- Access all deAPI capabilities through natural language
New tools and capabilities will be added as the MCP server evolves. Follow our Discord for updates and to share feature requests.
The full source code for the MCP server is available on GitHub: github.com/deapi-ai/mcp-server-deapi
Server Details
| Property | Value |
|---|
| MCP Server URL | https://mcp.deapi.ai/mcp |
| OAuth Client ID | deapi-mcp |
| OAuth Client Secret | Your deAPI API key |
| Transport | Streamed HTTP |
The deAPI MCP server exposes the following tools:
Image Generation & Manipulation
| Tool | Description |
|---|
text_to_image | Generate images from text prompts using AI diffusion models (Flux, Z-Image-Turbo) |
image_to_image | Transform existing images using text prompts (style transfer, editing) |
image_to_text | Extract text from images using OCR |
image_remove_background | Remove background from images (transparent PNG output) |
image_upscale | Upscale images to higher resolution |
text_to_image_price | Calculate price for text-to-image generation |
image_to_image_price | Calculate price for image transformation |
image_to_text_price | Calculate price for OCR extraction |
image_remove_background_price | Calculate price for background removal |
image_upscale_price | Calculate price for image upscaling |
Video Generation & Processing
| Tool | Description |
|---|
text_to_video | Generate videos from text prompts |
image_to_video | Animate static images into videos |
video_file_transcription | Transcribe uploaded video files to text |
video_url_transcription | Transcribe videos from URLs (YouTube, X/Twitter, Twitch, Kick) |
text_to_video_price | Calculate price for text-to-video generation |
image_to_video_price | Calculate price for image-to-video generation |
video_file_transcription_price | Calculate price for video file transcription |
video_url_transcription_price | Calculate price for video URL transcription |
Audio & Speech
| Tool | Description |
|---|
text_to_audio | Convert text to natural-sounding speech (TTS) |
audio_transcription | Transcribe uploaded audio files to text using Whisper |
audio_url_transcription | Transcribe audio from URLs (X/Twitter Spaces) |
text_to_audio_price | Calculate price for text-to-speech |
audio_transcription_price | Calculate price for audio file transcription |
audio_url_transcription_price | Calculate price for audio URL transcription |
Embeddings
| Tool | Description |
|---|
text_to_embedding | Generate text embeddings for semantic search |
text_to_embedding_price | Calculate price for embedding generation |
Utility
| Tool | Description |
|---|
get_available_models | List all available AI models with specifications |
get_balance | Check your deAPI account balance |
check_job_status | Check status of submitted jobs |
How to Connect
Claude (claude.ai)
To use deAPI MCP tools directly in Claude conversations:
Step 1. Get your API key from the deAPI Dashboard
Step 2. Add the MCP connector in Claude settings:
- Go to Settings → Connectors
- Click Add Connector or Add MCP Server
- Select New OAuth Connector
- Enter the following credentials:
| Field | Value |
|---|
| OAuth Client ID | deapi-mcp |
| OAuth Client Secret | Your deAPI API key |
| Server URL | https://mcp.deapi.ai/mcp |
Step 3. Grant permissions — After adding the connector, Claude will ask you to authorize the connection. Click Allow to enable deAPI MCP tools in your conversations.
Step 4. Start using deAPI MCP by asking Claude to generate images, transcribe videos, or use any other capability. Make sure to mention “deAPI MCP” in your prompt so Claude knows to use the MCP tools.
Example prompts:
- “Using deAPI MCP, generate an image of a futuristic city at sunset”
- “With deAPI MCP, transcribe this YouTube video: [URL]”
- “With deAPI MCP, transcribe this Twitch video: [URL]”
- “Check my deAPI MCP balance”
- “Using deAPI MCP, create a video of waves crashing on a beach”
Claude Desktop
To use deAPI MCP in the Claude Desktop app, configure it via the config file with a Bearer token. This is the recommended approach for desktop — no OAuth setup required.
Config file setup:
Edit your Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"deapi": {
"url": "https://mcp.deapi.ai/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Replace YOUR_API_KEY with your actual deAPI key. Save the file and restart Claude Desktop.
Cursor IDE
To integrate deAPI MCP into Cursor for AI-assisted development:
Step 1. Get your API key from the deAPI Dashboard
Step 2. Open Cursor Settings:
- Press
Cmd/Ctrl + Shift + P
- Search for “Cursor Settings” or navigate to Settings → Cursor Settings
Step 3. Add MCP Configuration:
- Find the MCP or Model Context Protocol section
- Add a custom MCP server configuration
- Paste the following JSON (replace
YOUR_API_KEY with your actual key):
{
"mcpServers": {
"deapi": {
"name": "DEAPI MCP",
"url": "https://mcp.deapi.ai/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Step 4. Restart Cursor to apply the configuration.
Step 5. Invoke deAPI MCP in chat by using phrases like:
- “Using deAPI MCP, generate an image of…”
- “With deAPI MCP, transcribe this audio…”
- “Via deAPI MCP, check my balance”
Cursor recognizes deAPI MCP tools when you mention keywords like “using deAPI MCP”, “with deAPI MCP”, or “via MCP” in your prompts.
ChatGPT
To use deAPI MCP tools in ChatGPT conversations:
MCP is available in beta to Pro, Plus, Business, Enterprise, and Education accounts. The MCP apps work on both web and desktop, but Developer mode settings are only accessible in the web version at chatgpt.com.
Step 1. Get your API key from the deAPI Dashboard
Step 2. Enable Developer mode:
- Go to Settings → Apps & Connectors
- Scroll to Advanced settings at the bottom
- Enable Developer mode
- Go back — a Create App button will appear next to Advanced settings
Step 3. Create a new MCP App:
- Click Create App
- Fill in the following details:
| Field | Value |
|---|
| Name | deAPI (or any name you prefer) |
| Description | deAPI MCP (optional) |
| MCP Server URL | https://mcp.deapi.ai/mcp |
| Authentication | OAuth |
| OAuth Client ID | deapi-mcp |
| OAuth Client Secret | Your deAPI API key |
Step 4. Check the risk acknowledgment checkbox (“I understand and want to continue”)
Step 5. Click Create
Step 6. Start using deAPI MCP by asking ChatGPT to generate images, transcribe videos, or use any other capability.
Example prompts:
- “Using deAPI MCP, generate an image of a cyberpunk cat”
- “With deAPI MCP, transcribe this YouTube video: [URL]”
- “Check my deAPI MCP balance”
- “With deAPI MCP, transcribe this Kick video: [URL]“
Self-Hosting
You can run the MCP server on your own infrastructure. The full source code is available at github.com/deapi-ai/mcp-server-deapi under the MIT license.
Prerequisites
- Python 3.10 or higher
uv, pip, or conda for package management
- A deAPI API key from the Dashboard
Quick Start
git clone https://github.com/deapi-ai/mcp-server-deapi.git
cd mcp-server-deapi
# Install dependencies (uv recommended)
uv pip install -e .
# Start the server
python -m src.server_remote
The server will start on http://localhost:8000 by default. For external access:
MCP_HOST=0.0.0.0 MCP_PORT=8000 python -m src.server_remote
Docker Deployment
# Build and run
docker build -t mcp-server-deapi .
docker run -d -p 8000:8000 --name mcp-server-deapi mcp-server-deapi
# Or with Docker Compose
docker-compose up -d
Cloud Deployment Options
The server can be deployed to any platform that supports Python or Docker containers: Railway, Fly.io, Heroku, DigitalOcean App Platform, AWS ECS, GCP Cloud Run, and others. Detailed deployment instructions are available in DEPLOYMENT.md in the repository.
Connecting a Self-Hosted Server
Point your MCP client to your server URL instead of the default https://mcp.deapi.ai/mcp:
{
"mcpServers": {
"deapi": {
"url": "http://your-server-ip:8000/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Supported Models
The MCP server provides access to all deAPI models.
Use the get_available_models tool to retrieve the full list with current specifications and limits.
Usage Examples
Generate an Image
Ask your AI assistant:
“Using deAPI MCP, generate an image of an astronaut riding a horse on Mars, photorealistic style”
The assistant will call text_to_image with appropriate parameters and return the generated image URL.
Transcribe a YouTube Video
“With deAPI MCP, transcribe this YouTube video with timestamps: https://www.youtube.com/watch?v=7qaiNfoMRts”
The assistant calls video_url_transcription and returns the full transcript.
Convert Text to Speech
“Using deAPI MCP, convert this text to speech with a British female voice: ‘Welcome to our platform’”
The assistant calls text_to_audio with the Kokoro model and appropriate voice settings.
Remove Background from Image
“Using deAPI MCP, remove the background from this product photo”
The assistant calls image_remove_background and returns a transparent PNG.
“With deAPI MCP, transcribe this Twitter Space: https://twitter.com/i/spaces/…”
The assistant calls audio_url_transcription and returns the full transcript.
Architecture
Smart Adaptive Polling
For async jobs, the server automatically polls for results with optimized intervals based on job type:
| Job Type | Initial Delay | Max Delay | Timeout |
|---|
| Audio | 1s | 5s | 5 min |
| Image | 2s | 8s | 5 min |
| Video | 5s | 30s | 15 min |
Polling uses exponential backoff (1.5× multiplier by default), so jobs receive fast initial checks while heavier workloads avoid unnecessary load.
Token Security
The MCP server does not store your API token. Authentication works at the connection level:
- Remote hosted server: OAuth 2.0 Authorization Code with PKCE, or Bearer token in HTTP headers
- Self-hosted server: Bearer token forwarded per-request to the deAPI API
- Tokens are never persisted or logged; tools do not accept
deapi_api_token as a parameter
When to Use MCP vs HTTP API
| Use Case | Recommended |
|---|
| AI assistants & chatbots | MCP Server |
| IDE integrations (Cursor, VS Code) | MCP Server |
| Backend services & workers | HTTP API |
| Batch processing | HTTP API |
| Direct programmatic control | HTTP API |
| Agent-driven workflows | MCP Server |
Use the MCP server when you want an AI agent to decide which tools to call, with which parameters, and in what order. Use the HTTP API + queue for typical backend integrations where you directly manage requests and results.
Troubleshooting
Connection Issues
- Verify your API key is valid and has sufficient balance
- Check the server URL is exactly
https://mcp.deapi.ai/mcp
- For Claude: Ensure OAuth Client ID is
deapi-mcp and Secret is your API key
- For Cursor / Claude Desktop: Ensure Bearer token format — the Authorization header should be
Bearer YOUR_API_KEY
- Restart your MCP client (Claude, ChatGPT, Cursor) after configuration changes
- In Claude: Make sure you clicked Allow when prompted to grant permissions
- In ChatGPT: Ensure Developer mode is enabled in Advanced settings
- Verify JSON syntax in configuration files (Cursor, Claude Desktop)
- Check that your API key has the necessary permissions
Jobs Stuck in Processing
- Use
check_job_status tool with the job ID to monitor progress
- Large video generation or transcription jobs may take several minutes
- Check status.deapi.ai for system status
Remote Connection Issues (Self-Hosted)
- Test the endpoint:
curl -N http://your-server:8000/mcp
- Check server logs:
docker logs mcp-server-deapi or journalctl -u mcp-server-deapi
- Verify firewall rules allow the configured port
- For SSL issues, confirm certificates are valid and paths are correct in your proxy config