Flux Kontext Mcp
What is Flux Kontext Mcp
flux-kontext-mcp is a server designed to facilitate the management and execution of machine learning predictions, utilizing the MCP (Model Control Protocol) framework.
Use cases
Use cases include generating predictions for datasets, managing multiple prediction requests, and retrieving model information for analysis and optimization.
How to use
To use flux-kontext-mcp, configure the MCP server with the provided JSON structure, ensuring to include your Replicate API token in the environment variables. You can then utilize various tools for generating predictions and managing models.
Key features
Key features include asynchronous prediction generation, prediction management tools (cancel, wait, list), and model information retrieval, which streamline the workflow for machine learning applications.
Where to use
flux-kontext-mcp can be used in various fields such as data science, artificial intelligence, and software development, particularly where machine learning predictions are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Flux Kontext Mcp
flux-kontext-mcp is a server designed to facilitate the management and execution of machine learning predictions, utilizing the MCP (Model Control Protocol) framework.
Use cases
Use cases include generating predictions for datasets, managing multiple prediction requests, and retrieving model information for analysis and optimization.
How to use
To use flux-kontext-mcp, configure the MCP server with the provided JSON structure, ensuring to include your Replicate API token in the environment variables. You can then utilize various tools for generating predictions and managing models.
Key features
Key features include asynchronous prediction generation, prediction management tools (cancel, wait, list), and model information retrieval, which streamline the workflow for machine learning applications.
Where to use
flux-kontext-mcp can be used in various fields such as data science, artificial intelligence, and software development, particularly where machine learning predictions are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Flux.1 Kontext MCP Server
MCP server configuration:
{
"mcpServers": {
"flux_kontext_mcp": {
"command": "uvx",
"args": [
"flux-kontext-mcp"
],
"env": {
"REPLICATE_API_TOKEN": "your_replicate_api_token"
}
}
}
}MCP tools
- flux_kontext_generate
- flux_kontext_async_generate
- flux_kontext_get_prediction
- flux_kontext_list_predictions
- flux_kontext_cancel_prediction
- flux_kontext_wait_for_prediction
- flux_kontext_get_model_info
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
