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Axcel MCP

Use Axcel Studio from any AI agent. Generate AI videos and images with your own Axcel account from Claude Code, Codex, OpenCode, Hermes Agent, Cursor, Claude Desktop, Windsurf, Gemini CLI, VS Code, or any other client that supports the Model Context Protocol.

You:    Make an 8-second 16:9 video with sound of waves at sunset, then a matching 1:1 thumbnail.
Agent:  axcel_generate_video → axcel_job_status → saved ~/Downloads/axcel/seedance-2-5-1a2b3c4d.mp4
        axcel_generate_image → saved ~/Downloads/axcel/nano-banana-pro-5e6f7a8b.png

Unofficial project. It is not made by, affiliated with, or endorsed by Axcel. It drives axcel.cloud through the same web API the site uses, with your own account and plan. That API is private and may change without notice. Use it for normal personal use and follow Axcel's terms of service. The axcel.cloud links in this README are the maintainer's affiliate link; the MCP itself adds no tracking.

Contents

Related MCP server: media-gen-mcp

What it can do

  • Text to video, for example with Seedance 2.0 / 2.5 or Veo 3.1 Fast. Choose duration, resolution and aspect ratio, and optionally generate sound and speech in English, Malay or Indonesian.

  • Image to video:

    • animate a start frame

    • go from a start frame to an end frame

    • guide the video with reference images (@Image1, @Image2 …) plus optional reference video/audio, if your plan includes it

  • Image generation, for example with Nano Banana Pro or Seedream 5.0 Pro, optionally from up to 4 reference images.

  • Seamless multi-scene films. Each scene starts from the last frame of the previous one, then all clips are joined into one MP4. This runs in the background.

  • Results: downloads with a JSON manifest (SHA-256, media info), visual previews for the agent, frame extraction, and joining clips with optional crossfades.

  • Your Axcel account: status, plan limits, history, Library, folders and ZIP downloads.

  • Film studio skill: a complete, tested workflow that takes the agent from your idea to a finished film. It always asks you the key choices first (landscape or portrait, length, voice, HeyGen or ElevenLabs for sound, budget). Story, reference images, scenes with dialogue QA, upscaling, a HyperFrames edit, mastering and subtitles are separate phases. See Film studio skill.

  • Safe by default:

    • Generations and deletions need an explicit confirm: true.

    • Slow jobs are polled, never resubmitted.

    • It never makes purchases.

The model list always comes live from Axcel, so new models show up without an update.

Requirements

Node.js 20 or newer

nodejs.org (LTS). Check with node -v.

Google Chrome (or Edge, Brave, Chromium)

Used once to open the Axcel sign-in window. Nothing extra is downloaded.

An Axcel Studio account with a plan

Sign up at axcel.cloud. Generations use your plan and credits.

ffmpeg (optional, recommended)

Needed for chaining scenes, joining clips, frame extraction and previews. macOS: brew install ffmpeg · Windows: winget install Gyan.FFmpeg · Debian/Ubuntu: sudo apt install ffmpeg

Works on macOS, Windows and Linux.

Quick start

There are three steps. Each takes about a minute.

1. Install

git clone https://github.com/aredamz/axcel-mcp.git
cd axcel-mcp
npm install
npm install -g github:aredamz/axcel-mcp

With a global install, the commands below are axcel-mcp setup, axcel-mcp login, axcel-mcp doctor and so on, instead of npm run ….

2. Connect your AI agents

npm run setup

This finds the AI agents installed on your computer and registers the axcel MCP server with them:

  • Claude Code

  • Codex

  • OpenCode

  • Hermes Agent

  • Cursor

  • Claude Desktop

  • Windsurf

  • Gemini CLI

  • VS Code

It shows what it found and asks before changing anything. It backs up each config file the first time it edits it. It also installs the film studio skill for the agents that support skills.

3. Sign in to Axcel (once)

npm run login
  1. A browser window opens on axcel.cloud.

  2. Click Continue with Google and sign in with the Google account that has your Axcel plan.

  3. The window closes by itself when you are signed in.

The session is shared by every agent on your computer, so you only do this once (Axcel sessions last about 30 days).

Restart your agent and ask it: "Check my Axcel status." That's it.

Tip: npm run doctor checks everything at once: Node, browser, ffmpeg, network, session and which agents are connected.

Connect your AI agent

npm run setup does this for you. To do it by hand, or for a client not listed, use the snippets below.

In every snippet, replace /ABSOLUTE/PATH/TO/axcel-mcp with the folder you cloned. If your client cannot find node, use its full path, for example /usr/local/bin/node or C:\Program Files\nodejs\node.exe (in JSON, write backslashes as \\). npm run setup -- --print prints all snippets with your real paths filled in.

claude mcp add -s user axcel -- node /ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js

-s user makes it available in every project. Check with claude mcp list.

Add to ~/.codex/config.toml:

[mcp_servers.axcel]
command = "node"
args = ["/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"]
startup_timeout_sec = 30
tool_timeout_sec = 600

Check with codex mcp list.

Add to ~/.config/opencode/opencode.json, or to opencode.json in a project.

OpenCode 2.x:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "servers": {
      "axcel": {
        "type": "local",
        "command": ["node", "/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"]
      }
    }
  }
}

OpenCode 1.x:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "axcel": {
      "type": "local",
      "command": ["node", "/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"],
      "enabled": true,
      "timeout": 600000
    }
  }
}

Add to ~/.hermes/config.yaml, then run /reload-mcp inside Hermes:

mcp_servers:
  axcel:
    command: "node"
    args: ["/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"]
    timeout: 600
    connect_timeout: 60

Hermes shows the tools as mcp_axcel_<tool>.

Add to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

{
  "mcpServers": {
    "axcel": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"]
    }
  }
}

Cursor limits the total number of MCP tools. If you hit the limit, expose fewer tools with "env": { "AXCEL_TOOLS": "core,sequence" } (see Configuration).

Settings → Developer → Edit Config, or edit the file directly:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "axcel": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"]
    }
  }
}

Quit Claude Desktop completely and reopen it.

  • Windsurf: ~/.codeium/windsurf/mcp_config.json, same mcpServers block as Cursor.

  • Gemini CLI: ~/.gemini/settings.json, same mcpServers block. You can add "timeout": 600000.

  • VS Code (Copilot agent mode): run code --add-mcp '{"name":"axcel","type":"stdio","command":"node","args":["/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"]}', or put this in .vscode/mcp.json:

    { "servers": { "axcel": { "type": "stdio", "command": "node", "args": ["/ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js"] } } }
  • Any other MCP client (Cline, Roo Code, Zed, Continue, LM Studio, Goose …): add a stdio server with command node and argument /ABSOLUTE/PATH/TO/axcel-mcp/bin/axcel-mcp.js.

More ready-made files are in examples/.

Signing in

axcel.cloud signs you in with Google (plus a Cloudflare check). There is no password API, so this MCP opens a real browser window with its own profile, and you sign in yourself. Only the resulting session cookie is saved, in an owner-only file on your computer. Your password and 2FA codes never pass through this code or through the AI agent.

There are three ways to start:

  • Terminal: run npm run login (or axcel-mcp login).

  • Through your agent: say "Sign in to Axcel". The agent calls axcel_login_begin, you sign in in the window, reply "done", and the agent calls axcel_login_complete.

  • Check the result: npm run status shows the account, plan, expiry and limits.

  1. Sign in to axcel.cloud in your normal browser.

  2. Open DevTools (F12) → Network. Reload the page and click any request to axcel.cloud/api/....

  3. Under Request Headers, copy the whole value of cookie, and paste it into a text file, for example ~/axcel-cookie.txt.

  4. Run:

    npm run login -- --cookie-file ~/axcel-cookie.txt --delete-file

    Or ask your agent to call axcel_login_import_cookie_file with the file path.

A JSON export from a cookie extension and a Netscape cookies.txt file also work. Never paste cookies into the chat.

Sign in on a computer with a browser. Then either:

  • copy ~/.axcel-mcp/session.json to the same place on the server, or

  • set the environment variable AXCEL_COOKIE (the cookie header value) in the MCP server's config.

Treat both like a password.

To sign out: npm run logout. This removes the saved session and the sign-in browser profile. Add -- --server to also end the session on axcel.cloud.

Using it

Just ask your agent in plain language. Some examples:

  • "What can the Axcel MCP do?"

  • "Check my Axcel status and list the video models."

  • "Make an 8-second 720p 16:9 video with sound: rain on a café window at night, warm light inside."

  • "Animate ./poster.png into a 9:16 video with Veo 3.1 Fast."

  • "Make a 5-second video that starts at start.jpg and ends at end.jpg."

  • "The person in @Image1 walks into the shop in @Image2", giving person.png and shop.png as reference images.

  • "Generate a 1:1 product photo of a red sneaker on white, then turn it into a 5-second video."

  • "Make a 4-scene seamless short film about a paper boat's journey, 10 seconds per scene, and join it into one MP4 in this project's renders/ folder."

  • "Save that result to my Axcel Library in a folder called Campaign."

How a generation runs

  1. The agent reads the live options with axcel_list_models. Only the durations, resolutions and ratios a model supports are accepted.

  2. Files you mention are uploaded automatically. You can use local paths, URLs or Axcel asset IDs. Oversized or unusual images are converted to fit Axcel's limits.

  3. The job is submitted and the agent waits up to 40 seconds.

  4. If the job is still rendering, the agent polls axcel_job_status with the same jobId. It never resubmits, so you never pay twice for one request.

  5. When the job is done, the file is downloaded together with a .axcel.json manifest. The agent can look at it with axcel_view.

Short clips usually take 1–10 minutes. Long 1080p clips can take much longer.

See docs/PROMPTING.md for prompt tips: reference images, dialogue, continuity and multi-scene films.

Film studio skill

For more than one clip (a short film, a story video for TikTok, a series episode, a trailer), the repository ships a skill: skills/axcel-film-studio. It is the production method behind several 5–9 minute AI films, written down step by step for any agent.

Phase

What happens

0–1 Setup & decisions

The agent checks your account and tools, then asks you the key choices before generating anything: landscape or portrait (always), platform, length, story, dialogue or narration, language, models, budget, HeyGen or ElevenLabs for sound effects/music/voice, subtitles, credits.

2 Story & script

STORY.md + a storyboard with timed beats and exact dialogue lines. You approve it.

3 Reference images

Character sheets, face close-ups and empty locations for consistent faces and places. You approve the look.

4 Scenes

Generated with retries; every job id is recorded, so nothing is ever paid for twice. The agent tells you the job count first.

5 Download & QA

Contact sheets, and Whisper dialogue checks (did the model say the line?). You review the picks.

6 Upscale

Optional Real-ESRGAN pass that keeps the orientation.

7 Edit (HyperFrames)

Clips, title/act/end cards, stamps, HUDs, grade, music carved under dialogue, SFX and narration from HeyGen or ElevenLabs.

8–10 Master, subtitles, wrap-up

−16 LUFS master, subtitle files on one sequential track (no overlapping cues), README.

It includes:

  • helper scripts (produce.mjs, dialogue_qa.py, hf_build.py, subtitles.py …)

  • templates

  • two worked examples: a landscape dialogue film and a portrait narrated TikTok short

Install:

  • npm run setup already installs it for Claude Code, Codex (~/.agents/skills), OpenCode and Hermes.

  • Or install it separately with npm run skill (axcel-mcp skill install).

Use: ask your agent "Make a 2-minute horror short with Axcel" or "Use the axcel-film-studio skill".

Clients without skills support (Cursor, Claude Desktop, VS Code, Windsurf …) get the same guide through the MCP:

  • the tool axcel_film_guide

  • the prompt film-studio, which shows up in Claude Code as /mcp__axcel__film-studio

Optional tools the skill asks before using:

  • HyperFrames (npx hyperframes) for the edit

  • the HeyGen CLI or an ElevenLabs API key for sound

  • faster-whisper for dialogue QA and subtitles

  • Real-ESRGAN for upscaling

Tools

Group

Tools

Account & sign-in

axcel_help, axcel_film_guide, axcel_status, axcel_login_begin, axcel_login_complete, axcel_login_diagnose, axcel_login_import_cookie_file, axcel_logout, axcel_list_models, axcel_billing_plans

Generate

axcel_generate_video, axcel_generate_image, axcel_job_status, axcel_active_jobs, axcel_download_job, axcel_view, axcel_upload

History

axcel_history_list, axcel_history_get, axcel_history_delete

Library

axcel_library_list, axcel_library_save_job, axcel_library_delete, axcel_library_move, axcel_folder_list, axcel_folder_create, axcel_folder_rename, axcel_folder_delete, axcel_folder_download_zip

Multi-scene & editing

axcel_sequence_start, axcel_sequence_status, axcel_sequence_list, axcel_extract_frame, axcel_concat_videos

Every parameter is described in docs/TOOLS.md. The Axcel web API this is built on is documented in docs/API.md.

Configuration

Everything works without configuration. To change a default, set an environment variable in your agent's MCP config (the env / environment block), or pass it to setup, for example npm run setup -- --env AXCEL_LANGUAGE=ms.

Variable

Default

What it does

AXCEL_OUTPUT_DIR

~/Downloads/axcel

Where results are saved, unless a tool call gives outputDirectory.

AXCEL_LANGUAGE

en

Accent of generated speech: en, ms (Malay) or id (Indonesian).

AXCEL_WAIT_SECONDS

40

How long one tool call waits for a job before returning its jobId for polling. Keep it under your client's tool timeout.

AXCEL_TOOLS

all

Tool groups to expose: core (always on), history, library, sequence. Example: core,sequence.

AXCEL_MCP_DATA_DIR

~/.axcel-mcp

Session, job records and the sign-in browser profile.

AXCEL_BROWSER_EXECUTABLE

auto-detected

Browser for the sign-in window (any Chromium-based browser).

AXCEL_COOKIE

–

Session cookie header for machines without a browser. Treat it like a password.

FFMPEG_PATH, FFPROBE_PATH

ffmpeg, ffprobe

Custom ffmpeg location.

AXCEL_BASE_URL

https://axcel.cloud

Only for testing.

Where your files go

What

Where

Videos and images

~/Downloads/axcel/ (or AXCEL_OUTPUT_DIR / outputDirectory). Each result has a .axcel.json manifest next to it.

Multi-scene films

~/Downloads/axcel/<film-name>/, with each scene plus <film-name>-final.mp4.

Session, job records, browser profile

~/.axcel-mcp/. This is private: never share or commit it.

Axcel deletes results after 7 days and Library files after 14 days. Anything downloaded stays on your computer.

Troubleshooting

Problem

Fix

Agent doesn't show the Axcel tools

Restart the agent after npm run setup. Run npm run doctor and check the "Registered with" line. Re-run npm run setup after moving the folder or switching Node versions.

login_required / "session expired"

Run npm run login again, or ask the agent to sign in.

No sign-in window appears

Install Google Chrome, or set AXCEL_BROWSER_EXECUTABLE. On a headless server, use the cookie file or AXCEL_COOKIE.

Google says the browser is not secure

Try axcel_login_begin with restart: true, or use the cookie file method.

"sign-in window is already open"

Another agent or terminal has the window open. Finish signing in there, or close it.

A job takes very long

That's normal for long or 1080p clips. The agent keeps polling the same jobId. You can also check axcel_active_jobs.

ffmpeg_missing

Install ffmpeg (see Requirements) and restart the agent. Generation itself works without it.

"Model is unavailable" / a job failed on Axcel

Provider-side failure. Try again later, or pick another model. The MCP never retries automatically, because a retry is a new paid job.

credits_exhausted / payment_required

Your Axcel plan or credits do not cover the request. Check your plan on axcel.cloud.

Tool call times out in Codex

npm run setup sets tool_timeout_sec = 600. If you configured Codex by hand, add it, or lower AXCEL_WAIT_SECONDS.

Something else changed on axcel.cloud

The web API is private and can change. Please open an issue with the error message.

Privacy and security

  • No telemetry. The server only talks to axcel.cloud, plus any URL you ask it to fetch as an input image.

  • Your session cookie is only sent to axcel.cloud, never to other hosts. It is stored in ~/.axcel-mcp/session.json, readable by your user account only.

  • The AI agent never sees your password, 2FA codes or cookies. Tool results show only your Axcel display name, plan and limits.

  • Generation and deletion tools need confirm: true, and the agent is told to use it only for what you asked. Tool annotations mark read-only and destructive tools, so clients can ask you before running them.

  • No purchases. There are no payment, admin, affiliate or support-message endpoints in this code.

  • Config files are backed up (*.backup-before-axcel-mcp) before setup first edits them.

Found a security problem? See SECURITY.md.

Updating and uninstalling

Update:

cd axcel-mcp
git pull
npm install

Or, for a global install: npm install -g github:aredamz/axcel-mcp.

Uninstall:

  1. Run npm run logout.

  2. Remove the axcel entry from your agents. For Claude Code that's claude mcp remove axcel -s user; for the others, delete the axcel block from the config files listed above.

  3. Remove the skill links with npm run skill -- remove.

  4. Delete the axcel-mcp folder and ~/.axcel-mcp.

Development

npm test          # offline tests: request building, config writers, image parsing, MCP server over stdio
npm run smoke     # live check against your signed-in account (read-only; add -- --image to also generate one image)
npm run doctor    # environment check

Project layout:

bin/axcel-mcp.js   entry point (MCP server on stdio, or CLI commands)
skills/            axcel-film-studio: the film-production skill (SKILL.md, references, scripts, templates, examples)
src/server.js      MCP tools
src/api.js         axcel.cloud API client
src/requests.js    builds and validates /api/generate requests against the live catalog and plan
src/auth.js        sign-in window, session and cookie import
src/media.js       ffmpeg helpers: upload limits, frames, joining clips, previews
src/setup.js       client config writers (Claude Code, Codex, OpenCode, Hermes, Cursor, ...)
src/cli.js         setup / login / status / doctor / logout
docs/              tool reference, API notes, prompting guide

Contributions are welcome. Please run npm test before opening a pull request, and never commit anything from ~/.axcel-mcp.

License

MIT

Available Tools

34 tools
axcel_active_jobsRunning jobsB
Read-only

Jobs currently running on the Axcel account.

Inputs: no named parameters.

axcel_billing_plansAxcel plansA
Read-onlyIdempotent

Read-only list of Axcel plans and prices. This MCP never buys anything.

Inputs: no named parameters.

axcel_concat_videosJoin clipsA

Join clips into one MP4 (normalised size/fps/audio; optional trim of the repeated first frame and crossfades). Needs ffmpeg.

Inputs: clips (required), output (required), fps, width, +3 more.

axcel_download_jobDownload a resultC
Idempotent

Download a finished job (video or image) with a .axcel.json manifest (SHA-256, media info).

Inputs: jobId (required), fileName, outputDirectory.

axcel_extract_frameExtract a frameA

Save one frame (last, first or at N seconds) of a local video or a finished job as PNG, e.g. to start the next scene from it. Needs ffmpeg.

Inputs: jobId, video, outFile, position.

axcel_film_guideFilm production guideA
Read-only

The axcel-film-studio skill: the step-by-step way to make a multi-scene AI film or story video with Axcel (owner decisions first, including landscape or portrait; story; reference images; scenes; download and QA; HyperFrames edit with HeyGen or ElevenLabs sound; mastering; subtitles). Call it before starting a film when your client has no skills support. Omit section for the main guide.

Inputs: section.

axcel_folder_createCreate folderC

Create a Library folder.

Inputs: name (required).

axcel_folder_deleteDelete folderB
Destructive

Delete a Library folder (cannot be undone).

Inputs: confirm (required), folderId (required).

axcel_folder_download_zipDownload folder as ZIPC
Idempotent

Download a whole Library folder as one ZIP file.

Inputs: folderId (required), outputDirectory.

axcel_folder_listLibrary foldersC
Read-only

List Library folders.

Inputs: no named parameters.

axcel_folder_renameRename folderC
Idempotent

Rename a Library folder.

Inputs: name (required), folderId (required).

axcel_generate_imageGenerate an imageA

Generate an image on Axcel (e.g. Nano Banana Pro, Seedream 5.0 Pro), optionally guided by up to 4 reference images, wait for it and download it.

Inputs: model (required), prompt (required), confirm (required), ratio, +7 more.

axcel_generate_videoGenerate a videoA

Generate a video on Axcel (text-to-video or image-to-video), wait for it and download it. Returns a jobId; if it is still processing, poll axcel_job_status with that jobId.

Inputs: model (required), prompt (required), confirm (required), mode, +16 more.

axcel_helpAxcel MCP helpB
Read-only

What this Axcel MCP can do, the recommended workflow, and example requests.

Inputs: no named parameters.

axcel_history_deleteDelete history itemC
Destructive

Delete a history item on Axcel (cannot be undone).

Inputs: id (required), confirm (required).

axcel_history_getHistory itemC
Read-only

One history item, including its result URL.

Inputs: id (required).

axcel_history_listGeneration historyA
Read-only

Generation history on Axcel (kept 7 days), newest first. Use the returned cursor for the next page.

Inputs: cursor, search, hideFailed.

axcel_job_statusJob statusA
Idempotent

Status of an Axcel job by jobId. Waits up to waitSeconds for it to finish and downloads the result when done. Use the SAME jobId; never resubmit a slow job.

Inputs: jobId (required), download, fileName, waitSeconds, +1 more.

axcel_library_deleteDelete Library itemC
Destructive

Delete a Library item (cannot be undone).

Inputs: assetId (required), confirm (required).

axcel_library_listLibrary itemsB
Read-only

Library items (uploaded images and saved results; kept 14 days). Use the returned "berikut" value as before for the next page.

Inputs: kind, before, search, folderId.

axcel_library_moveMove Library itemsB
Idempotent

Move Library assets into a folder (folderId null = out of any folder).

Inputs: assetIds (required), folderId (required).

axcel_library_save_jobSave result to LibraryA

Save a finished job result into the Library, optionally into a folder.

Inputs: jobId (required), folderId.

axcel_list_modelsList Axcel modelsB
Read-onlyIdempotent

Live model catalog with the options each model accepts: inputs (text/start/end/refimg/...), resolutions, durations, ratios and audio.

Inputs: type.

axcel_login_beginSign in to AxcelA

Open a browser window on axcel.cloud so the user can sign in with their own Google account. Returns immediately. Then tell the user to sign in there, wait for their reply, and call axcel_login_complete.

Inputs: restart.

axcel_login_completeFinish signing inA

Confirm the sign-in started with axcel_login_begin and save the session (waits briefly while the window is open).

Inputs: waitSeconds.

axcel_login_diagnoseShow the sign-in windowA
Read-only

Screenshot and text of every page of the open sign-in window (including the Google popup), to see what the user sees when sign-in is stuck.

Inputs: no named parameters.

axcel_logoutSign outA
Destructive

Forget the saved Axcel session on this computer (and by default the sign-in browser profile).

Inputs: serverSide, keepBrowserProfile.

axcel_sequence_listMulti-scene filmsB
Read-only

Multi-scene films started from this computer, newest first.

Inputs: no named parameters.

axcel_sequence_startStart a multi-scene filmA

Generate scenes one after another in the background. With chain=true each scene starts from the previous scene's last frame; at the end the clips are joined into one MP4. Returns a pipelineId; poll axcel_sequence_status. Needs ffmpeg for chaining/joining.

Inputs: name (required), scenes (required), shared (required), confirm (required), +4 more.

axcel_sequence_statusMulti-scene film statusA

Progress of a multi-scene film. resume=true continues a paused or stopped film where it left off (finished scenes are never resubmitted; re-running a FAILED scene needs confirm=true).

Inputs: pipelineId (required), resume, confirm.

axcel_statusAxcel account statusA
Read-only

Whether you are signed in, the account plan, credits and limits, plus local settings. Call this first.

Inputs: no named parameters.

axcel_uploadUpload a fileA

Upload a local image (to the Library) or a reference video/audio, and get its assetId for reuse in later generations (kept 14 days).

Inputs: filePath (required).

axcel_viewPreview a resultA
Read-only

Return a small preview image of a local image or video (one frame) or of a finished job, so you can check the result visually. Needs ffmpeg for videos.

Inputs: file, jobId, maxSize, position.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 34 tools

    Disambiguation4/5

    Most tools map to a distinct resource+action (generate_video, generate_image, job_status, history_get, folder_create), so boundaries are largely clear. A few pairs could be confused — axcel_job_status vs axcel_sequence_status vs axcel_active_jobs, and axcel_view vs axcel_extract_frame — but descriptions differentiate them adequately.

    Naming Consistency3/5

    All tools share the axcel_ prefix, which helps grouping, but the ordering convention is mixed: noun_action (folder_list, library_list, history_list, job_status) alongside verb_noun (list_models, generate_video, extract_frame, concat_videos), plus bare nouns (status, help, billing_plans, active_jobs). It stays readable, but no single predictable pattern governs the set.

    Tool Count3/5

    34 tools is heavy and above the comfortable 3-15 band, creating real discovery overhead. However, the surface spans several genuinely distinct areas (auth, billing, generation, jobs, history, library, folders, editing), so each tool is defensible rather than redundant.

    Completeness4/5

    Coverage is broad and near-complete: full auth lifecycle, generation, job handling, history CRUD, library CRUD plus move, and folder CRUD with ZIP export. Minor gaps exist (no job cancel/delete, no library rename, no history save-to-library), but agents can work around them.

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