How should image-video-generation-mcp be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

image-video-generation-mcp answer-first brief

MCP server for image and video generation MCP Image Video Generation Server 一个免费生成图像和视频的 MCP (Model Context Protocol) 服务器，支持 BigModel AI 平台的 CogView 和 CogVideoX 模型。功能 - 🎨 **图像生成**: 使用 CogView 模型（cogview-4, cogview-4-250304, cogview-3-flash）生成高质量图像，默认使用 cogview-3-flash 免费模型 - 🚀 **批量图像生成**: **[新功能]** 支持一次性生成1-100张图像，具备并行处理和灵活批次管理能力 - 🎬 **视频生成**: 使用 CogVideoX 模型（cogvideox-3, cogvideox-2, cogvideox-flash）生成视频，默认使用 cogvideox-flash 模型 - ⚙️ **配置管理**: 支持环境变量配置和动 Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

image-video-generation-mcp is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

image-video-generation-mcp

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal4 GitHub stars

Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

4 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

156554395

Artifacts

Benchmarks

Last release

1.0.9

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/156554395/image-video-generation-mcp.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

156554395

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Adoption (1)

Adoption signal

4 GitHub stars

profilemedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

bash

pnpm add -g image-video-generation-mcp

bash

export IMAGE_VIDEO_GENERATION_API_KEY="your_api_key_here"
export IMAGE_VIDEO_GENERATION_DEFAULT_IMAGE_MODEL="cogview-3-flash"
export IMAGE_VIDEO_GENERATION_DEFAULT_VIDEO_MODEL="cogvideox-flash"

json

{
  "apiKey": "your_api_key_here",
  "defaultImageModel": "cogview-3-flash",
  "defaultVideoModel": "cogvideox-flash",
  "timeout": 30000,
  "maxRetries": 3
}

json

{
  "mcpServers": {
    "image-video-generation": {
      "command": "npx",
      "args": ["-y", "image-video-generation-mcp@latest"],
      "env": {
        "IMAGE_VIDEO_GENERATION_API_KEY": "your_api_key"
      },
      "type": "stdio"
    }
  }
}

json

{
  "prompts": ["小猫玩耍", "城市夜景", "程序员工作"],
  "model": "cogview-3-flash",
  "batch_size": 3,
  "parallel": true,
  "max_concurrent": 2
}

bash

# 克隆项目
git clone https://github.com/156554395/image-video-generation-mcp.git
cd image-video-generation-mcp

# 安装依赖
pnpm install

# 开发模式
pnpm dev

# 运行测试
pnpm test

# 构建
pnpm build

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

MCP Image Video Generation Server

一个免费生成图像和视频的 MCP (Model Context Protocol) 服务器，支持 BigModel AI 平台的 CogView 和 CogVideoX 模型。

功能

🎨 图像生成: 使用 CogView 模型（cogview-4, cogview-4-250304, cogview-3-flash）生成高质量图像，默认使用 cogview-3-flash 免费模型
🚀 批量图像生成: [新功能] 支持一次性生成1-100张图像，具备并行处理和灵活批次管理能力
🎬 视频生成: 使用 CogVideoX 模型（cogvideox-3, cogvideox-2, cogvideox-flash）生成视频，默认使用 cogvideox-flash 模型
⚙️ 配置管理: 支持环境变量配置和动态设置更新
🔄 异步处理: 支持视频生成任务状态查询和自动等待完成
🛡️ 错误处理: 内置重试机制和详细错误信息
📝 TypeScript: 完整的类型安全支持
🔧 调试支持: 内置 MCP Inspector 和 VS Code 调试配置
🎯 无水印: 默认生成无水印内容（可以在 bigmodel.cn 安全管理中去掉水印）

安装

pnpm add -g image-video-generation-mcp

API Key 申请

在使用本服务器之前，您需要在 BigModel.cn 平台申请 API Key。

申请步骤

访问 BigModel 开放平台
- 打开浏览器访问：https://www.bigmodel.cn/claude-code?ic=QHPPFCALMK
- 点击右上角"登录"或"注册"
注册/登录账号
- 使用手机号或邮箱注册账号
- 完成实名认证（根据平台要求）
- 登录到开发者控制台
获取 API Key
- 点击右上角头像，找到 API Key 后点击进入
- 添加新的 API Key（注意保密）

费用说明

免费额度: 新用户通常会获得一定的免费调用额度
计费方式: 按实际调用次数和资源使用量计费
余额查询: 在控制台可以查看余额和使用情况
充值方式: 支持多种在线充值方式

模型定价

| 模型类型 | 模型名称 | 费用类型 | 推荐场景 | | -------- | --------------- | ----------- | -------------------- | | 图像生成 | cogview-3-flash | 免费/低成本 | 快速原型、日常使用 | | 图像生成 | cogview-4 | 付费 | 高质量图像、专业用途 | | 视频生成 | cogvideox-flash | 免费 | 快速视频生成 | | 视频生成 | cogvideox-3 | 付费 | 标准质量视频 |

💡 建议: 开发和测试阶段建议使用免费模型（cogview-3-flash），生产环境根据需求选择付费模型。

API Key 使用注意事项

🔒 保密: API Key 相当于密码，请勿在代码仓库中公开
✅ 权限: 确保 API Key 有权限访问所需的模型服务
🔄 轮换: 定期更换 API Key 以提高安全性
📊 监控: 定期检查 API 使用量和费用情况

配置

设置环境变量：

export IMAGE_VIDEO_GENERATION_API_KEY="your_api_key_here"
export IMAGE_VIDEO_GENERATION_DEFAULT_IMAGE_MODEL="cogview-3-flash"
export IMAGE_VIDEO_GENERATION_DEFAULT_VIDEO_MODEL="cogvideox-flash"

或创建配置文件 .image-video-generation-config.json：

{
  "apiKey": "your_api_key_here",
  "defaultImageModel": "cogview-3-flash",
  "defaultVideoModel": "cogvideox-flash",
  "timeout": 30000,
  "maxRetries": 3
}

使用方法

作为 MCP 服务器使用

在你的 MCP 客户端配置中添加：

{
  "mcpServers": {
    "image-video-generation": {
      "command": "npx",
      "args": ["-y", "image-video-generation-mcp@latest"],
      "env": {
        "IMAGE_VIDEO_GENERATION_API_KEY": "your_api_key"
      },
      "type": "stdio"
    }
  }
}

重要说明: MCP 服务器通过 stdio 进行通信，所以直接运行 npx image-video-generation-mcp@latest 会看起来像是"卡住"或"无法运行"，这是正常现象。服务器正在等待来自 MCP 客户端的输入。

注意: 模型配置是可选的，如果不设置环境变量，将使用默认模型：

默认图像模型: cogview-3-flash

默认视频模型: cogvideox-flash

环境变量说明

| 环境变量 | 必需 | 默认值 | 说明 | | -------------------------------------------- | ---- | ----------------- | ---------------- | | IMAGE_VIDEO_GENERATION_API_KEY | ✅ | - | API 密钥 | | IMAGE_VIDEO_GENERATION_DEFAULT_IMAGE_MODEL | ❌ | cogview-3-flash | 默认图像生成模型 | | IMAGE_VIDEO_GENERATION_DEFAULT_VIDEO_MODEL | ❌ | cogvideox-flash | 默认视频生成模型 |

支持的工具

1. generate_image

生成单张图像，支持以下参数：

prompt (必需): 图像描述文本
model: 模型选择 (cogview-4, cogview-4-250304, cogview-3-flash)
quality: 图像质量 (standard, hd)
size: 图像尺寸 (例如 1024x1024)
watermark_enabled: 是否添加水印
user_id: 用户追踪 ID

2. batch_generate_images 🆕

[新功能] 批量生成多张图像，支持1-100个提示词，具备并行处理能力。

基础参数：

prompts (必需): 提示词数组，最多100个
model: 模型选择 (cogview-4, cogview-4-250304, cogview-3-flash)
quality: 图像质量 (standard, hd)
size: 图像尺寸 (例如 1024x1024)
watermark_enabled: 是否添加水印
user_id: 用户追踪 ID

批次管理参数：

batch_size: 每批处理的提示词数量 (1-20，默认4)
parallel: 是否并行处理 (默认true)
max_concurrent: 最大并发数 (1-10，默认3)
delay_between_batches: 批次间延迟(毫秒，0-10000，默认1000)

使用示例：

{
  "prompts": ["小猫玩耍", "城市夜景", "程序员工作"],
  "model": "cogview-3-flash",
  "batch_size": 3,
  "parallel": true,
  "max_concurrent": 2
}

📖 详细使用指南: BATCH_GENERATION_GUIDE.md

3. generate_video

生成视频，支持以下参数：

prompt (必需): 视频描述文本 (最大 512 字符)
model: 模型选择 (cogvideox-3, cogvideox-2, cogvideox-flash)
quality: 输出质量模式 (speed, quality)
size: 视频分辨率 (例如 1920x1080)
fps: 帧率 (30, 60)
duration: 视频时长 (5, 10 秒)
with_audio: 是否启用 AI 生成音频
watermark_enabled: 是否控制水印

4. query_video_result

查询异步视频生成任务结果：

task_id (必需): 视频生成任务返回的 ID

5. wait_for_video

等待视频生成完成并返回结果：

task_id (必需): 任务 ID
max_wait_time: 最大等待时间 (默认 300000 毫秒)
poll_interval: 轮询间隔 (默认 5000 毫秒)

6. configure_models

配置默认模型和设置：

default_image_model: 默认图像生成模型
default_video_model: 默认视频生成模型
timeout: 请求超时时间
max_retries: 最大重试次数

默认模型

图像生成: cogview-3-flash (免费模型，快速生成)
视频生成: cogvideox-flash (快速视频生成)

开发

# 克隆项目
git clone https://github.com/156554395/image-video-generation-mcp.git
cd image-video-generation-mcp

# 安装依赖
pnpm install

# 开发模式
pnpm dev

# 运行测试
pnpm test

# 构建
pnpm build

发布

发布到 npm

# 登录 npm（如果尚未登录）
npm login

# 发布新版本
pnpm release

# 或者手动发布
pnpm build
pnpm test
npm publish

发布脚本说明

prepublishOnly: 发布前自动构建和测试
prepack: 打包前自动构建
release: 完整的发布流程（构建 → 测试 → 发布）

发布文件说明

通过 package.json 中的 files 字段和 .npmignore 文件，发布包将只包含：

包含的文件：

dist/ - 构建后的 JavaScript 和 TypeScript 声明文件
README.md - 项目文档
LICENSE - 许可证文件

排除的文件：

src/ - 源代码目录
scripts/ - 开发脚本
测试文件和调试文件
配置文件和开发工具文件

版本管理

# 更新补丁版本 (1.0.0 -> 1.0.1)
npm version patch

# 更新次版本 (1.0.0 -> 1.1.0)
npm version minor

# 更新主版本 (1.0.0 -> 2.0.0)
npm version major

# 预发布版本 (1.0.0 -> 1.0.1-beta.0)
npm version prerelease --preid=beta

调试

使用 VS Code 调试

使用 VS Code 调试配置：
- 打开 VS Code
- 按 F5 或点击调试面板
- 选择 "Debug MCP Server" 配置
- 设置断点并开始调试
调试配置选项：
- Debug MCP Server: 普通调试模式
- Debug MCP Server (Break at Start): 启动时暂停
- Debug Tests: 调试测试代码

使用命令行调试

启动调试服务器：

# 构建项目
pnpm build

# 启动调试（在第一行断点）
pnpm debug:break

# 或者启动调试（不在第一行断点）
pnpm debug

使用 Chrome DevTools：
- 打开 Chrome 浏览器
- 访问 chrome://inspect
- 点击 "Open dedicated DevTools for Node"
- 在 DevTools 中查看和控制调试

使用 Node Inspector：

# 使用 inspector
node --inspect --inspect-port=9229 dist/index.js

# 使用 inspector-brk（启动时暂停）
node --inspect-brk --inspect-port=9229 dist/index.js

调试环境变量

# 设置调试环境变量
export NODE_ENV=development
export DEBUG=mcp:*

使用 MCP Inspector (推荐)

启动 MCP Inspector：

# 构建项目
pnpm build

# 使用 MCP Inspector（推荐方式）
pnpm inspector

# 或者直接使用 npx
pnpm inspector:direct

MCP Inspector 功能：
- 🎯 可视化调试: 直观的 Web 界面调试 MCP 服务器
- 🛠️ 工具测试: 直接在浏览器中测试所有 MCP 工具
- 📝 实时日志: 查看服务器日志和调试信息
- 🔧 参数编辑: 动态修改请求参数进行测试
- 📊 响应预览: 查看工具执行的详细响应
Inspector 使用方法：
- 运行 pnpm inspector 命令
- 浏览器会自动打开 Inspector 界面
- 在左侧选择要测试的工具
- 填写参数并点击"Execute"执行
- 在右侧查看执行结果和日志

调试技巧

断点调试: 在源代码中设置断点，调试器会在这些点暂停执行
控制台输出: 使用 console.log() 输出调试信息
变量监视: 在调试器中监视变量值的变化
调用堆栈: 查看函数调用链，了解程序执行流程
热重载: 使用 pnpm dev 进行开发，自动重新编译
MCP Inspector: 最佳调试方式，提供完整的可视化和交互功能

许可证

MIT License - 详见 LICENSE 文件

贡献

欢迎提交 Issue 和 Pull Request！

开发指南

Fork 项目
创建功能分支 (git checkout -b feature/AmazingFeature)
提交更改 (git commit -m 'Add some AmazingFeature')
推送到分支 (git push origin feature/AmazingFeature)
创建 Pull Request

贡献者

感谢所有为这个项目做出贡献的开发者！

故障排除

MCP 连接问题

如果遇到 MCP 连接不上的问题，请检查以下几点：

API Key 配置：确保已正确设置 IMAGE_VIDEO_GENERATION_API_KEY 环境变量

# 测试 API Key 是否正确配置
IMAGE_VIDEO_GENERATION_API_KEY=your_api_key npx image-video-generation-mcp@latest

网络连接：确保能访问 https://open.bigmodel.cn/api

版本问题：使用最新版本

# 清除 npm 缓存并使用最新版本
npm cache clean --force
npx -y image-video-generation-mcp@latest

配置文件格式：确保 MCP 配置文件格式正确

{
  "mcpServers": {
    "image-video-generation": {
      "command": "npx",
      "args": ["-y", "image-video-generation-mcp@latest"],
      "env": {
        "IMAGE_VIDEO_GENERATION_API_KEY": "your_actual_api_key_here"
      },
      "type": "stdio"
    }
  }
}

错误日志：如果仍有问题，请查看 MCP 客户端的错误日志

常见错误

"API Key is required"：需要设置 IMAGE_VIDEO_GENERATION_API_KEY 环境变量
"command not found"：npm 缓存问题，尝试清除缓存或等待几分钟
连接超时：检查网络连接和防火墙设置

支持

如有问题，请提交 GitHub Issues。

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/156554395/image-video-generation-mcp#input",
  "outputSchemaRef": "https://github.com/156554395/image-video-generation-mcp#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:13.043Z",
  "sourceUpdatedAt": "2026-02-24T19:46:13.043Z",
  "freshnessSeconds": 4431539
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T02:45:12.472Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "image-generation",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "video-generation",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cogview",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cogvideox",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:image-generation|supported|profile capability:video-generation|supported|profile capability:ai|supported|profile capability:cogview|supported|profile capability:cogvideox|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:13.043Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:13.043Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/156554395/image-video-generation-mcp#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:13.043Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "156554395",
    "href": "https://github.com/156554395/image-video-generation-mcp#readme",
    "sourceUrl": "https://github.com/156554395/image-video-generation-mcp#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "4 GitHub stars",
    "href": "https://github.com/156554395/image-video-generation-mcp",
    "sourceUrl": "https://github.com/156554395/image-video-generation-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-156554395-image-video-generation-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

image-video-generation-mcp answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

MCP Image Video Generation Server

功能

安装

API Key 申请

申请步骤

费用说明

模型定价

API Key 使用注意事项

配置

使用方法

作为 MCP 服务器使用

环境变量说明

支持的工具

1. generate_image

2. batch_generate_images 🆕

3. generate_video

4. query_video_result

5. wait_for_video

6. configure_models

默认模型

开发

发布

发布到 npm

发布脚本说明

发布文件说明

版本管理

调试

使用 VS Code 调试

使用命令行调试

调试环境变量

使用 MCP Inspector (推荐)

调试技巧

许可证

贡献

开发指南

贡献者

故障排除

MCP 连接问题

常见错误

支持

相关链接

Contract & API

Reliability & Benchmarks

Media & Demo

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