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qwen 2 mcp

qwen 2 mcp

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@runapi-aiTypeScriptApache-2.0Updated 1mo ago

RunAPI MCP server for Qwen 2: create tasks, poll status, check pricing.

RunAPI Qwen 2 MCP Server

Qwen 2 API access for AI agents: run image generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

npm version GitHub repository Apache-2.0 license MCP Server 2 models

Install | Tools | Models | Agent Prompts | Configuration | Links


Why This Package?

@runapi.ai/qwen-2-mcp is a focused Model Context Protocol server for the Qwen 2 model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 2 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Qwen 2. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.


Install

Add it to Claude Code:

claude mcp add qwen-2 -s user -- npx -y @runapi.ai/qwen-2-mcp

Use project scope when the server should be shared with a repository:

claude mcp add qwen-2 -s project -- npx -y @runapi.ai/qwen-2-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "qwen-2": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/qwen-2-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

ToolAuthPurpose
edit_imageYesCreate a Qwen 2 edit image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
text_to_imageYesCreate a Qwen 2 text to image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_taskYesFetch the current status and latest payload for an existing task.
check_pricingNoLook up current pricing for a Qwen 2 model and endpoint.

Models

Qwen 2 covers 2 model variants across 2 endpoints. Each tool accepts the models listed for it:

ToolModels
edit_imageqwen-2-edit-image
text_to_imageqwen-2-text-to-image

Model availability can change between releases. Use check_pricing or the Qwen 2 model page for the current catalog view.


Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Qwen 2 edit image task with RunAPI.

The assistant can call check_pricing, then edit_image, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Check current Qwen 2 pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Qwen 2 model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.


Links

ResourceURL
Qwen 2 model pagehttps://runapi.ai/models/qwen-2
npm package@runapi.ai/qwen-2-mcp
GitHub repositoryrunapi-ai/qwen-2-mcp
RunAPI MCP overviewrunapi.ai/mcp
RunAPI docsrunapi.ai/docs

License

Licensed under the Apache License, Version 2.0.