deAPI Mcp Server

Name: deAPI Mcp Server
Author: deapi-ai

@deapi-ai

代码仓库

关于 deAPI Mcp Server

暂无概览

#ai #audio-transcription #image-generation #text-to-speech #ocr #video-generation #video-replace #embeddings #depin #deapi

基本信息

分类

媒体与设计

许可证

MIT

运行时

python

传输方式

stdio

发布者

deapi-ai

提交者

Alex Głowacki

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "deapi": {
      "type": "streamable-http",
      "url": "https://mcp.deapi.ai/mcp",
      "headers": {
        "Authorization": "Bearer <your-deapi-api-key>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is deAPI MCP Server?

A production-ready MCP server for the deAPI REST API. It exposes 39 deAPI AI capabilities as MCP tools, enabling LLMs to perform audio transcription, image generation, OCR, video generation, text-to-speech, and more. It is built for developers integrating AI features into LLM-based applications.

How to use deAPI MCP Server?

Install Python 3.10+, clone the repository, and install dependencies with uv pip install -e . (or pip/conda). Run the server locally with python -m src.server_remote (default port 8000) or deploy remotely with Docker. Connect from Claude Desktop via the built-in OAuth connector (using your deAPI API token) or via a config file with a Bearer token. Authentication is handled at the connection level, not per tool call.

Key features of deAPI MCP Server

Complete API coverage with 39 MCP tools
Smart adaptive polling for async jobs with exponential backoff
OAuth 2.0 authentication with PKCE
Automatic retry logic with error recovery
Real-time progress reporting to MCP clients
Full Pydantic schema validation for type safety

Use cases of deAPI MCP Server

Transcribe audio or video files to text (including URLs from YouTube, Twitter, Twitch)
Generate images and videos from text prompts or animate static images
Perform OCR, remove backgrounds, upscale images and videos
Convert text to natural speech or generate music from descriptions
Generate text embeddings for semantic search and enhance prompts for AI inference

FAQ from deAPI MCP Server

What authentication does the server use?

OAuth 2.0 Authorization Code flow with PKCE (for remote connections) or Bearer token via HTTP headers (for local development). Tools do not accept an API token parameter; all authentication is handled at the connection level.

What are the runtime requirements?

Python 3.10 or higher with uv, pip, or conda. For remote deployment, Docker is supported via the provided Dockerfile and docker-compose.yml.

Where does data live?

The server forwards requests to the deAPI API and does not store API tokens. Tokens are used only for the specific request and never persisted or logged.

What transport does the server use?

Streamable HTTP (MCP over HTTP). The server can run locally on localhost:8000 or be deployed to a remote server with MCP_HOST=0.0.0.0.

Are there any known limits?

Polling timeouts are 5 minutes for audio and image jobs, 15 minutes for video jobs. The server retries failed requests up to 3 times

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