MCP server

TokPort Official

io.tokport/tokport

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Generate images and videos (GPT Image, Seedance, Kling, Wan, Qwen) with one API key.

Website

At a glance

Type

MCP server

Publisher

tokport.io (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 915 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http tokport https://tokport.io/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.tokport]
url = "https://tokport.io/api/mcp"

Gemini CLI

{"mcpServers":{"tokport":{"httpUrl":"https://tokport.io/api/mcp"}}}

Cursor

{"mcpServers":{"tokport":{"url":"https://tokport.io/api/mcp"}}}

VS Code

{"servers":{"tokport":{"type":"http","url":"https://tokport.io/api/mcp"}}}

Antigravity

agy mcp add tokport https://tokport.io/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"tokport","server_url":"https://tokport.io/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"tokport","server_url":"https://tokport.io/api/mcp"}

Tools

• cancel_job ~77 tokens
  Cancel a request while it is still queued.
• check_job ~106 tokens
  Status of a queued request (IN_QUEUE / IN_PROGRESS / COMPLETED / FAILED / CANCELLED) with position, logs and metrics.
• get_job_result ~107 tokens
  Result of a completed request; waits up to `timeout` seconds (max 60) when still running.
• get_model_schema ~82 tokens
  Input parameters (name, type, allowed values, defaults) and output shape for every task a model supports.
• get_pricing ~65 tokens
  Live price per image or per video clip for one model or all models.
• run_model ~150 tokens
  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.
• search_models ~166 tokens
  Search the model catalog. Returns ids, modality, tasks, pricing and links. Use before calling run_model or submit_job to pick a model id.
• submit_job ~162 tokens
  Queue a request and return its request_id immediately. Follow with check_job / get_job_result.

Browse

• Image generation

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