How do I install the MCP Tokenflux Images skill?

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Is MCP Tokenflux Images free to use?

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MCP Tokenflux Images by tomevault-io

Name: MCP Tokenflux Images
Author: tomevault-io

MCP Tokenflux Images

Generate images using AI models via TokenFlux API. Use when creating AI-generated images, artwork, or visual content. Triggers on "generate image", "create picture", "AI art", "image generation", "TokenFlux". Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

TokenFlux Image Generation

MCP service at https://tokenflux.ai/v1/images/mcp (http) with 4 tools.

Requirements

mh CLI must be installed. If not available, install with:

curl -fsSL https://raw.githubusercontent.com/vaayne/mcphub/main/scripts/install.sh | sh

TOKENFLUX_API_KEY environment variable must be set with your TokenFlux API key

Usage

List tools: mh list -u https://tokenflux.ai/v1/images/mcp --header "x-api-key:${TOKENFLUX_API_KEY}"

Get tool details: mh inspect -u https://tokenflux.ai/v1/images/mcp --header "x-api-key:${TOKENFLUX_API_KEY}" <tool-name>

Invoke tool: mh invoke -u https://tokenflux.ai/v1/images/mcp --header "x-api-key:${TOKENFLUX_API_KEY}" <tool-name> '{"param": "value"}'

Workflow

List models first: Use listModels to discover available image generation models
Get model schema: Use getModel with the chosen model_id to get the required input_schema
Generate image: Use generateImage with the correct input format from the schema
Poll if needed: If generation returns status: 'processing', use getGeneration to poll until complete

Notes

Run inspect before invoking unfamiliar tools to get full parameter schema
Timeout: 30s default, use --timeout <seconds> to adjust
generateImage waits up to 30 seconds; if still processing, poll with getGeneration
Always call getModel before generateImage to understand the correct input format

Tools

listModels: List all available VLM models with their IDs, names, descriptions, and pricing. Use this first to discover valid model_id values for generate_image. This tool takes no parameters.
getModel: Get detailed information about a specific VLM model including its input_schema. The input_schema is a JSON Schema describing the required input object for generate_image. Always call this before generate_image to understand the correct input format.
generateImage: Generate an image using a VLM model. IMPORTANT: Call get_model first to get the input_schema for your model. This tool waits up to 30 seconds for completion. If the image is ready, returns {id, status: 'succeeded', images: [...]}. If still processing after 30s, returns {id, status: 'processing'} - use get_generation to poll.
getGeneration: Get the status and result of an image generation request. Use the id returned by generate_image to poll until status is 'succeeded' or 'failed'. Returns {id, model, status, images?, error?, cost?}.

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: mcp-tokenflux-imagesdescription: Generate images using AI models via TokenFlux API. Use when creating AI-generated images, artwork, or visual content. Triggers on "generate image", "create picture", "AI art", "image generation", "TokenFlux". Use when this capability is needed.---# TokenFlux Image GenerationMCP service at `https://tokenflux.ai/v1/images/mcp` (http) with 4 tools.## Requirements- `mh` CLI must be installed. If not available, install with: ```bash curl -fsSL https://raw.githubusercontent.com/vaayne/mcphub/main/scripts/install.sh | sh ```- `TOKENFLUX_API_KEY` environment variable must be set with your TokenFlux API key## UsageList tools: `mh list -u https://tokenflux.ai/v1/images/mcp --header "x-api-key:${TOKENFLUX_API_KEY}"`Get tool details: `mh inspect -u https://tokenflux.ai/v1/images/mcp --header "x-api-key:${TOKENFLUX_API_KEY}" <tool-name>`Invoke tool: `mh invoke -u https://tokenflux.ai/v1/images/mcp --header "x-api-key:${TOKENFLUX_API_KEY}" <tool-name> '{"param": "value"}'`## Workflow1. **List models first**: Use `listModels` to discover available image generation models2. **Get model schema**: Use `getModel` with the chosen model_id to get the required input_schema3. **Generate image**: Use `generateImage` with the correct input format from the schema4. **Poll if needed**: If generation returns `status: 'processing'`, use `getGeneration` to poll until complete## Notes- Run `inspect` before invoking unfamiliar tools to get full parameter schema- Timeout: 30s default, use `--timeout <seconds>` to adjust- `generateImage` waits up to 30 seconds; if still processing, poll with `getGeneration`- Always call `getModel` before `generateImage` to understand the correct input format## Tools- **listModels**: List all available VLM models with their IDs, names, descriptions, and pricing. Use this first to discover valid model_id values for generate_image. This tool takes no parameters.- **getModel**: Get detailed information about a specific VLM model including its input_schema. The input_schema is a JSON Schema describing the required input object for generate_image. Always call this before generate_image to understand the correct input format.- **generateImage**: Generate an image using a VLM model. IMPORTANT: Call get_model first to get the input_schema for your model. This tool waits up to 30 seconds for completion. If the image is ready, returns {id, status: 'succeeded', images: [...]}. If still processing after 30s, returns {id, status: 'processing'} - use get_generation to poll.- **getGeneration**: Get the status and result of an image generation request. Use the id returned by generate_image to poll until status is 'succeeded' or 'failed'. Returns {id, model, status, images?, error?, cost?}.---> Converted and distributed by [TomeVault](https://tomevault.io/claim/vaayne) — claim your Tome and manage your conversions.

Frequently asked questions