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MCP Server for Replicate

@MCP-Mirror

リポジトリ

基本情報

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トランスポート

stdio

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MCP-Mirror

MCP Server for Replicate について

Mirror of

#mcp#replicate#ai-models

MCP Server for Replicate の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Server for Replicate のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What models are currently supported?

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

2

How do I set up my API token?

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

3

What is the current status of the server?

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

4

What are the planned future features?

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

5

How do I run the server?

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

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