Comfyui MCP vs SSTV Decoder

A side-by-side look at the Comfyui MCP and SSTV Decoder MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Comfyui MCP logoComfyui MCPMultimedia Process · Local subprocess (stdio)MCP server + Claude Code plugin for ComfyUI: run workflows, generate images, manage models & VRAM.64GoodAuth: not declared
S
SSTV DecoderMultimedia Process
Decode an SSTV audio recording and anchor its fingerprint and image hash to the Knox event chain.37FairAuth: not declared

Verdict: choose Comfyui MCP for multimedia process work as a local process; choose SSTV Decoder for multimedia process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Comfyui MCP logoChoose Comfyui MCP when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like queue, get_system_stats, visualize_workflow.
Explore Comfyui MCP

S
Choose SSTV Decoder when

  • You need dedicated capabilities in the Multimedia Process domain.
Explore SSTV Decoder

Feature & specification comparison

Rows where the two servers differ are marked.

SpecComfyui MCP logoComfyui MCP
S
SSTV Decoder
CategoryMultimedia ProcessMultimedia Process
Quality signal64/100 · Good37/100 · Fair
Install commandConfirmedNot confirmed yet
TransportLocal subprocess (stdio)—
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars855—
Directory activity 2 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools13Not listed

Tools & capabilities

Comfyui MCP tools 13

  • queueOne action-parameterized tool for the execution queue: `list` (running + pending), `status` (one job by prompt ID), `get_workflow` (a pending job's full payload), `move`/`edit` (requeue a pending job front/back, patched or replaced, with a new prompt ID), `cancel` (interrupt the running job — escal…
  • get_system_statsGet system info — GPU, VRAM, Python version, OS
  • visualize_workflowOne action-parameterized tool for rendering and converting a workflow you pass in: `render` (Mermaid flowchart, nodes grouped by category), `render_hierarchical` (the same graph sectioned — overview, one section in detail, a listing, or an AI-oriented summary), `mermaid` (a Mermaid diagram back to…
  • create_workflowOne action-parameterized tool for authoring: `create` (from templates: `txt2img`, `img2img`, `upscale`, `inpaint`, `controlnet`, `ip_adapter`, `ace_step_15`, `stable_audio_3`), `modify` (operations: `set_input`, `add_node`, `remove_node`, `connect`, `insert_between`), `validate` (dry-run — missing…
  • get_workflowOne action-parameterized tool for READING a saved workflow file: `list` (the user library, subfolders included), `get` (one workflow's JSON by filename), `analyze` (a structured summary instead of raw JSON), `query` (filter/traverse/aggregate a big graph without dumping it), `strip` (**de-virtualiz…
  • save_workflowOne action-parameterized tool for WRITING to the library: `save` (store a workflow — overwrites a same-filename file), `lock` (record a provenance lock: SHA-256 per model, git commit per node pack), `verify_lock` (report drift against that lock)
  • upload_imageCopy a local image into ComfyUI's `input/` directory for img2img, inpaint, or ControlNet
  • download_modelFind and fetch model weights, and track the transfers. `action`: `download` (from a URL, into the correct ComfyUI subdirectory), `status`, `cancel`, `search` (HuggingFace), `search_civitai`, `search_creators`, `download_civitai`, `resolve_missing
  • list_local_modelsWhat is installed, and where ComfyUI looks. `action`: `list` (installed models by type: checkpoints, loras, vae, upscale_models, controlnet, embeddings, clip, unet, diffusion_models, text_encoders), `remove` (**deletes a model file**), `embeddings`, `list_paths`, `add_path`, `remove_path` (the last…
  • clear_vramFree GPU VRAM by unloading cached models — calls ComfyUI's `/free` endpoint, reports before/after stats
  • search_custom_nodesSearch the ComfyUI Registry for node packs by keyword (`action: "search"`), or get one pack's full details (`action: "details"`)
  • comfy_cliSearch actual loaded node classes through official `comfy nodes search` (action:"search_nodes")
  • +1 more on the listing page

SSTV Decoder tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Comfyui MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "comfyui-mcp-2": {
      "command": "npx",
      "args": [
        "-y",
        "comfyui-mcp@latest"
      ]
    }
  }
}

SSTV Decoder

No confirmed install command for SSTV Decoder yet — follow the setup steps linked from its listing page rather than a guessed package name.

Frequently asked questions

Comfyui MCP is categorized under Multimedia Process and uses a local stdio subprocess. SSTV Decoder belongs to Multimedia Process and uses an install path we have not confirmed yet. Pick Comfyui MCP for multimedia process work and SSTV Decoder for multimedia process.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. SSTV Decoder has no confirmed install command yet — follow its own setup instructions.

Comfyui MCP has no declared pricing — check the project's own site. SSTV Decoder has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add comfyui-mcp-2 and sstv-decoder as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Comfyui MCP has a quality signal of 64/100 (Good) with 2 views, 0 installs and 855 GitHub stars. SSTV Decoder has 37/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.