MCP Server for Replicate

@MCP-Mirror

代码仓库

基本信息

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其他

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stdio

作者

MCP-Mirror

关于 MCP Server for Replicate

Mirror of

#mcp#replicate#ai-models

MCP Server for Replicate 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Server for Replicate 工具

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概览

What is MCP Server for Replicate?

MCP Server for Replicate is a FastMCP server that provides a standardized interface for accessing AI models hosted on Replicate’s API. It currently focuses on image generation, including model schema inspection, customizable parameters, and output resizing/optimization. This server is for developers who want to integrate Replicate models into MCP-compatible tools.

How to use MCP Server for Replicate?

Install dependencies with pip install -r requirements.txt, set your Replicate API token in a .env file as REPLICATE_API_TOKEN=your_token_here, then run the server using fastmcp dev.

Key features of MCP Server for Replicate

Image generation with customizable parameters
Model schema inspection for supported models
Output resizing and optimization
Early alpha stage with active development
Roadmap includes text and video generation support

Use cases of MCP Server for Replicate

Generating images from text prompts using Replicate-hosted models
Inspecting the input/output schemas of available image models
Integrating Replicate’s AI capabilities into MCP-enabled workflows

常见问题

What models are currently supported?

Image generation models are supported, with features for schema inspection, generation with parameters, and output optimization.

How do I set up my API token?

Add `REPLICATE_API_TOKEN=your_token_here` to a `.env` file in the project directory.

What is the current status of the server?

It is in early alpha development; features and APIs may change significantly.

What are the planned future features?

The roadmap includes text generation, video generation, model version management, better error handling, caching, and rate limiting.

How do I run the server?

After setup, run `fastmcp dev` from the command line.

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