TokPort
Generate images and videos (GPT Image, Seedance, Kling, Wan, Qwen) with one API key.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'get_pricing' description lacks action verbin get_pricing
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"tokport": {
"url": "https://tokport.io/api/mcp"
}
}
}Remote endpoints
https://tokport.io/api/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
🟡search_models(q, modality, task, available)
Search the model catalog. Returns ids, modality, tasks, pricing and links. Use before calling run_model or submit_job to pick a model id.
Input Schema
{
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Free-text query over id, name, vendor and tags"
},
"modality": {
"type": "string",
"description": "image or video",
"enum": [
"image",
"video"
]
},
"task": {
"type": "string",
"description": "text-to-image | image-to-image | text-to-video | image-to-video"
},
"available": {
"type": "boolean",
"description": "Only models live on the gateway"
}
}
}🟢get_model_schema(model)
Input parameters (name, type, allowed values, defaults) and output shape for every task a model supports.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id, e.g. gpt-image-2"
}
},
"required": [
"model"
]
}🟢get_pricing(model)
Live price per image or per video clip for one model or all models.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id; omit for all models"
}
}
}⚪run_model(model, input, task)
Run a model synchronously with the caller's API key. Images return URLs; videos are queued and this waits up to 60 s before returning the queue status instead.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id"
},
"input": {
"type": "object",
"description": "Model input: prompt, size, n, image, seconds …",
"additionalProperties": true
},
"task": {
"type": "string",
"description": "Force the task kind (inferred otherwise)"
}
},
"required": [
"model",
"input"
]
}🟡submit_job(model, input, task, webhook, priority)
Queue a request and return its request_id immediately. Follow with check_job / get_job_result.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id"
},
"input": {
"type": "object",
"additionalProperties": true
},
"task": {
"type": "string",
"description": "Force the task kind (inferred otherwise)"
},
"webhook": {
"type": "string",
"description": "Public http(s) URL to POST the result to"
},
"priority": {
"type": "string",
"description": "normal or low",
"enum": [
"normal",
"low"
]
}
},
"required": [
"model",
"input"
]
}🟢check_job(model, request_id, logs)
Status of a queued request (IN_QUEUE / IN_PROGRESS / COMPLETED / FAILED / CANCELLED) with position, logs and metrics.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id"
},
"request_id": {
"type": "string",
"description": "req_… id"
},
"logs": {
"type": "boolean"
}
},
"required": [
"model",
"request_id"
]
}🟢get_job_result(model, request_id, timeout)
Result of a completed request; waits up to `timeout` seconds (max 60) when still running.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id"
},
"request_id": {
"type": "string",
"description": "req_… id"
},
"timeout": {
"type": "integer",
"minimum": 0,
"maximum": 60
}
},
"required": [
"model",
"request_id"
]
}🔴cancel_job(model, request_id)
Cancel a request while it is still queued.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model id"
},
"request_id": {
"type": "string",
"description": "req_… id"
}
},
"required": [
"model",
"request_id"
]
}Community
Evidence