opencode-tokenrhythm-image-mcp

Text to image, straight to disk. qwen-image-2.0 or wan2.7-image through TokenRhythm; the generated file lands in a directory you choose and its path is returned to the model.

用 TokenRhythm 生成图片并直接落盘,把本地路径交回模型。

As a DeepSeek Harness plugin: the MCP server ships inside the bundle, so installing one plugin is the whole setup — no mcpServers file to hand-edit.

Install

DeepSeek Harness Desktop — open Plugins in the sidebar, choose Add plugin, and enter:

https://github.com/bauerelizabeth07139/opencode-tokenrhythm-image-mcp

Then switch the new dsh-tokenrhythm-image bundle on. The Desktop app boots the reserved desktop profile, so that is where it has to be enabled.

dsh CLI — install it into the profile you actually boot:

dsh plugin --profile web add bauerelizabeth07139/opencode-tokenrhythm-image-mcp

No git on the machine? pnpm resolves a git shorthand with git ls-remote, which fails with 'git' is not recognized when git is missing. Use the tarball instead — that path is plain HTTPS:

dsh plugin --profile web add https://codeload.github.com/bauerelizabeth07139/opencode-tokenrhythm-image-mcp/tar.gz/main

The same address works in the Desktop Add plugin dialog. Replace main with a commit SHA to pin an exact revision (/tar.gz/<sha>).

Uninstall with dsh plugin --profile web remove dsh-tokenrhythm-image.

Requirements

• Python ≥ 3.8 on PATH, or pointed at with python.
• No third-party packages. The server is pure standard library.
• A TokenRhythm API key in TOKENRHYTHM_API_KEY (or config.apiKey), plus network access to https://tokenrhythm.studio/v1.

Tools

The server registers 2 tool(s). DSH namespaces them automatically, so the model calls them as mcp__tokenrhythm_image__<tool>:

Tool	What it does
generate_image	Generates up to four images and writes each one into the output directory, returning the local paths and the remote URLs. Parameters: prompt (required), model (qwen-image-2.0 or wan2.7-image), n (1–4), size.
list_image_models	Lists the two TokenRhythm image models.

Configuration

Key	Environment variable	Default	Meaning
python	—	discovered	interpreter that runs the server
apiKey	TOKENRHYTHM_API_KEY	(empty)	TokenRhythm credential
baseUrl	TOKENRHYTHM_BASE_URL	https://tokenrhythm.studio/v1	API base
outputDir	TOKENRHYTHM_OUTPUT_DIR	~/Pictures/opencode-tokenrhythm	where generated images are written
toolCallTimeoutMs	—	360000	DSH's per-call budget; a single request may take 300 s
env	—	{}	raw environment passthrough

Every field is optional and lives in the loader row. For example, in cordis.patch.yml:

- id: dsh-tokenrhythm-image
  name: 'dsh-tokenrhythm-image'
  config:
    apiKey: 'sk-...'
    outputDir: 'D:/images/generated'
    toolCallTimeoutMs: 360000

Notes

• Set outputDir. The server's default writes outside the workspace (~/Pictures/opencode-tokenrhythm on this platform). Point it somewhere you expect files to appear.
• Timeouts. The server's own HTTP budget is 300 s for a generation request, so the plugin mounts with 360 s rather than the harness's 60 s default.
• Paid API. Generation needs a working key and network access; without a key the tool returns TOKENRHYTHM_API_KEY environment variable is not set.

How it is mounted

index.js resolves a Python interpreter (the configured python, then python3/python on PATH), hands the server its argv and working directory, and mounts it as a stdio MCP server through @deepseek-ai/dsh-mcp-client with failOnStartupError: true, so a server that cannot start is a visible error rather than a silently missing tool.

Credentials are forwarded explicitly. The harness scrubs credential-shaped variables (KEY, TOKEN, SECRET, PASSWORD) out of the environment a child process inherits, so config.apiKey — falling back to the variable the server documents — is written into the child's environment by the plugin itself. That means both of these work:

config:
  apiKey: '<your key>'

export TOKENRHYTHM_API_KEY='<your key>'   # picked up at load time

Development

No build step and no runtime dependencies — @deepseek-ai/cordis and @deepseek-ai/dsh-mcp-client are peers supplied by the Harness.

npm test    # node >= 22: manifest checks + the stdio mount, both Harness-free

The mount test loads index.js with @deepseek-ai/dsh-mcp-client stubbed and asserts the exact stdio configuration the plugin produces, including the credential forwarding above.

Repository layout

Path	Purpose
index.js	the DSH plugin: resolves the interpreter and mounts the server
cordis.patch.yml	the loader row that activates the plugin
locale/{en,zh}.json	card title and description for the plugin lists
assets/icon.svg	card artwork
test/	npm test: manifest composition and the mount contract
server.py	the MCP server, unchanged

Other hosts (unchanged)

The server is a plain stdio MCP server and still works anywhere else. The repository's original README is kept verbatim as README.opencode.md, and the launch stanza from it keeps working:

{
  "mcp": {
    "tokenrhythm-image": {
      "type": "local",
      "command": ["python", "C:\\path\\to\\server.py"],
      "enabled": true,
      "environment": { "TOKENRHYTHM_API_KEY": "{env:TOKENRHYTHM_API_KEY}" }
    }
  }
}

License

MIT — the repository shipped no licence; this plugin's release adds one for the repository owner's own code.