Axiom Lab — AI Pitch Deck & Business Video MCP

io.github.Axiom-lab-tech由 GitHub 账号 Axiom-lab-tech 发布v0.6.0更新于 Oct 25, 2026

Turn PDFs, PPTX decks, product photos, and briefs into QA-checked commercial videos via MCP.

发布方自己的服务：Axiom

已验证Streamable HTTP可网页运行效率与工作流媒体与设计

服务详情

标识符: io.github.Axiom-lab-tech/axiomlab-mcp
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Oct 25, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 Axiom-lab-tech。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.Axiom-lab-tech%2Faxiomlab-mcp.svg)](https://sourceweft.com/mcp/io.github.Axiom-lab-tech%2Faxiomlab-mcp?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

远程 MCP 服务器，可将路演 PPT、幻灯片、产品照片和简报转成经质检的商业视频，付费渲染前先免费生成方案。

可以做什么: 列出视频工作流、模板和视频类型，并浏览现成的示例与相关资源。上传 PDF、PPTX、DOCX 简报、图片、视频片段或音频，并列出已上传素材及其 ID。在付费渲染前根据素材生成免费的结构化制作方案。启动、查询、长轮询、列出、取消、恢复视频任务或确认时长，并在任务请求时批准额外预算。查询预付钱包余额。
适用场景: 适合希望让助手把已有的营销素材（如路演 PPT、产品照片或文字简报）制作成短视频或讲解视频，并希望在付费渲染前先审阅免费方案的场景。
运行要求: 需要远程 Streamable HTTP 端点，以及在服务商开发者页面创建的 bearer API 密钥，通过 Authorization 请求头发送。README 还介绍了可选的本地 stdio 服务器，需用 pip 或 uvx 安装，依赖 Python，并通过环境变量提供同一 API 密钥。

安装前请注意

视频制作需付费，从预付的港币钱包扣款；可通过预算批准工具授权额外支出。上传的 PPT、照片、视频片段和音频会发送到服务商的服务。API 密钥属于机密，应避免写入共享配置；viewer 角色的密钥只能查看，不能消费。

安装

在 SourceWeft 中

打开控制台中的 Axiom Lab — AI Pitch Deck & Business Video MCP，将其添加到工作区。
连接 Authorization token 凭据。它们会被私密存储，绝不会在公开页面上展示。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.Axiom-lab-tech%2Faxiomlab-mcp/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "axiom-lab-ai-pitch-deck-business-video": {
      "type": "http",
      "url": "https://axiomlab.online/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

Axiom Lab MCP Server, CLI & SDKs (`azimo`)

[Axiom-lab-tech/axiomlab-mcp MCP server]

Official Model Context Protocol (MCP) server, azimo command-line client, Python SDK, and TypeScript SDK for Axiom Lab — turn PDF pitch decks, PPTX slides, UI screenshots, product photos, and written briefs into QA-checked commercial videos.

Website: https://axiomlab.online
Official MCP Registry: io.github.Axiom-lab-tech/axiomlab-mcp
Glama MCP Directory: https://glama.ai/mcp/servers/Axiom-lab-tech/axiomlab-mcp
Smithery Skill: axiomlab/azimo
MCP & Agent Guide: English · 中文文档
REST API Reference: https://axiomlab.online/developers/api
Claude Skill (SKILL.md): skills/azimo/SKILL.md · Online Guide
Full Playable Examples: https://axiomlab.online/examples
Free Pitch & Startup Calculators: https://axiomlab.online/tools

Two Ways to Connect via MCP

Option 1: Remote Streamable HTTP MCP (Zero Local Install)

Point Claude Code, Cursor, or any Streamable HTTP MCP client directly at https://axiomlab.online/mcp using an API key from https://axiomlab.online/dev:

bash

claude mcp add --transport http azimo https://axiomlab.online/mcp \  --header "Authorization: Bearer $AZIMO_API_KEY"

claude mcp add --transport http azimo https://axiomlab.online/mcp \  --header "Authorization: Bearer $AZIMO_API_KEY"

Or in ~/.cursor/mcp.json / claude_desktop_config.json:

json

{  "mcpServers": {    "azimo": {      "url": "https://axiomlab.online/mcp",      "headers": {        "Authorization": "Bearer ${env:AZIMO_API_KEY}"      }    }  }}

{  "mcpServers": {    "azimo": {      "url": "https://axiomlab.online/mcp",      "headers": {        "Authorization": "Bearer ${env:AZIMO_API_KEY}"      }    }  }}

Option 2: Local `stdio` MCP Server (`azimo mcp`)

Run the local stdio MCP server directly on macOS, Linux, or Windows (enables direct local file path uploads up to 60 MB per file without base64 inline limits):

Configure in claude_desktop_config.json or ~/.cursor/mcp.json:

json

{  "mcpServers": {    "azimo": {      "command": "azimo",      "args": ["mcp"],      "env": {        "AZIMO_API_KEY": "vg_..."      }    }  }}

{  "mcpServers": {    "azimo": {      "command": "azimo",      "args": ["mcp"],      "env": {        "AZIMO_API_KEY": "vg_..."      }    }  }}

Or launch ephemeral via uvx:

Available MCP Tools (14 Tools, 4 Prompts, 2 Resources)

Tool	Description
`azimo_list_workflows`	List supported video workflows (`explainer`, `motion_explainer`, `product_pitch`, `profile_card`, `short_drama`, `creative_video`), durations, and aspect ratios
`azimo_list_playground`	List ready-made starting templates (project intro, person card, product film, company intro, short-drama ad, e-commerce ad) with runnable examples
`azimo_list_video_types`	Inspect structured fields for `project`, `product`, `personal`, `corporate`, and `name_card` videos
`azimo_upload_asset`	Upload source PDFs, PPTX decks, DOCX briefs, PNG/JPG/WEBP photos, MP4/MOV clips, or audio references
`azimo_list_assets`	List files uploaded to the current project with their `asset_id`s
`azimo_create_plan`	Validate material and generate a free structured production plan before any paid rendering starts
`azimo_create_video`	Start paid video production from a confirmed `ready` plan (idempotent per `plan_id`)
`azimo_get_video`	Retrieve job status, stage, progress, and signed MP4 film + cover (+ SRT) download links
`azimo_wait_video`	Long-poll until production reaches a terminal state or pauses at `needs_input` (`confirm_duration`)
`azimo_list_videos`	List recent videos in the active project with status
`azimo_cancel_video`	Cancel a queued, waiting, or running video job before its next paid step
`azimo_approve_budget`	Authorize extra spending when a video stops with an approvable `budget_approval` request
`azimo_resume_video`	Confirm the suggested film duration (`duration_sec`, 30–180s) or continue a paused `needs_input` video
`azimo_get_balance`	Check total, reserved, and available prepaid HKD wallet balance

MCP Prompts (4): create_product_video, create_company_intro, create_project_intro, create_person_card
MCP Resources (2): azimo://workflows, azimo://video-types

Safety by design: Plans are always free. Production and billing only start after explicit confirmation, and viewer-role API keys can inspect plans and progress without permission to spend balance.

Python SDK

python

import osfrom vidgen_sdk import Vidgen
with Vidgen("https://axiomlab.online", os.environ["AZIMO_API_KEY"]) as api:    asset = api.upload_asset("deck.pdf")    plan = api.create_plan(        {            "prompt": "Explain in 60 seconds how our inventory platform cuts warehouse stockouts",            "assets": [asset["id"]],            "options": {"workflow": "auto", "duration_max": 60},        },        idempotency_key="launch-plan-001",    )    if plan["data"]["status"] == "ready":        job = api.create_video(plan_id=plan["id"], idempotency_key="launch-video-001")        final = api.wait(job["id"])        stop = (final.get("result") or {}).get("input_required") or {}        if stop.get("code") == "confirm_duration":            api.confirm_duration(job["id"], stop["suggested_duration_sec"], idempotency_key="launch-length-001")            final = api.wait(job["id"])

import osfrom vidgen_sdk import Vidgen
with Vidgen("https://axiomlab.online", os.environ["AZIMO_API_KEY"]) as api:    asset = api.upload_asset("deck.pdf")    plan = api.create_plan(        {            "prompt": "Explain in 60 seconds how our inventory platform cuts warehouse stockouts",            "assets": [asset["id"]],            "options": {"workflow": "auto", "duration_max": 60},        },        idempotency_key="launch-plan-001",    )    if plan["data"]["status"] == "ready":        job = api.create_video(plan_id=plan["id"], idempotency_key="launch-video-001")        final = api.wait(job["id"])        stop = (final.get("result") or {}).get("input_required") or {}        if stop.get("code") == "confirm_duration":            api.confirm_duration(job["id"], stop["suggested_duration_sec"], idempotency_key="launch-length-001")            final = api.wait(job["id"])