Content Plan Builder

Content Plan Builder

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Category
访问服务器

README

Content Plan Builder

An MCP (Model Context Protocol) server that generates comprehensive Asana project plans from arbitrary content — text, PDFs, DOCX files, meeting transcripts, or any combination.

Features

  • Multi-format Input: Accepts text, PDF, DOCX, TXT, MD, HTML, CSV, and JSON files
  • AI-Powered Generation: Uses Claude to create detailed project plans with:
    • 5 top-level tasks with 5-10 subtasks each
    • Realistic time estimates
    • Role-based assignments
    • Task dependencies
    • SMART goals
    • Key data points and metrics
  • Asana Integration: Optionally create projects directly in Asana
  • Flexible Output: Detailed structured format or compact array format

Installation

# Clone the repository
git clone https://github.com/yourusername/content-plan-builder.git
cd content-plan-builder

# Install dependencies
npm install

# Build
npm run build

Configuration

Environment Variables

Variable Required Description
ANTHROPIC_API_KEY Yes Anthropic API key for Claude

MCP Registration

Add to your ~/.mcp.json:

{
  "mcpServers": {
    "content-plan-builder": {
      "command": "node",
      "args": ["/path/to/content-plan-builder/dist/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your-api-key"
      }
    }
  }
}

For Claude Desktop, add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "content-plan-builder": {
      "command": "node",
      "args": ["/path/to/content-plan-builder/dist/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your-api-key"
      }
    }
  }
}

Usage

Tool: plan_from_content

Operations

Operation Description
generate Create a project plan from inputs
preview Preview plan without saving
create Generate plan and create in Asana

Parameters

Parameter Type Description
operation string generate, preview, or create
inputs array Array of input objects
knowledgeBaseContext string Additional context to include
projectName string Name for the generated project
creativity string conservative, balanced, or expansive
outputFormat string detailed, compact, or both
asanaAccessToken string Asana PAT (for create operation)
asanaTeamGid string Team GID for new project
targetProjectGid string Add to existing project

Input Types

Type Description
text Raw text content
file File path to PDF, DOCX, TXT, MD, HTML, CSV, or JSON
transcript Meeting transcript text
meeting_notes Meeting notes text

Examples

Generate plan from text

{
  "operation": "generate",
  "inputs": [
    {
      "type": "text",
      "content": "We need to build a new customer portal with user authentication, a dashboard showing order history, and the ability to track shipments..."
    }
  ],
  "projectName": "Customer Portal Development"
}

Generate from file

{
  "operation": "generate",
  "inputs": [
    {
      "type": "file",
      "content": "/path/to/requirements.pdf"
    }
  ],
  "creativity": "expansive"
}

Combine multiple inputs

{
  "operation": "generate",
  "inputs": [
    {
      "type": "transcript",
      "content": "Meeting transcript from kickoff call..."
    },
    {
      "type": "file",
      "content": "/path/to/scope-document.docx"
    }
  ],
  "knowledgeBaseContext": "This project is part of the Q2 digital transformation initiative...",
  "projectName": "Digital Transformation - Phase 1"
}

Create in Asana

{
  "operation": "create",
  "inputs": [
    {
      "type": "transcript",
      "content": "Sprint planning meeting transcript..."
    }
  ],
  "projectName": "Sprint 14 Tasks",
  "asanaAccessToken": "your-asana-pat",
  "asanaTeamGid": "1234567890"
}

Output Formats

Detailed Format

Full structured plan with all metadata:

{
  "projectGoal": "Build a customer-facing portal that enables...",
  "topLevelTasks": [
    {
      "name": "User Authentication System",
      "description": "Implement secure authentication...",
      "assignedTo": "Senior Developer",
      "estimate": "2 weeks",
      "blockedBy": "N/A",
      "subtasks": [...]
    }
  ],
  "keyDataPoints": ["500 concurrent users expected", ...],
  "keywordsAndPhrases": ["customer portal", "authentication", ...],
  "questionsAndExercises": ["What is the expected user growth rate?", ...],
  "smartGoals": ["Reduce customer support tickets by 30% within 3 months", ...],
  "additionalMaterials": ["UX design guidelines", ...]
}

Compact Format

Array of all subtasks for easy import:

[
  {
    "index": 1,
    "Parent-task": "User Authentication System",
    "Sub-Task": "Design authentication flow",
    "Task Description": "Create detailed flow diagrams...",
    "Assignee": "UX Designer",
    "Estimated Time": "3 days",
    "Dependencies": "N/A"
  }
]

Creativity Levels

Level Description
conservative Stick closely to what is explicitly mentioned in the content
balanced Include tasks that are mentioned or strongly implied (default)
expansive Infer additional tasks for testing, documentation, deployment, etc.

Development

# Run in development mode
npm run dev

# Build
npm run build

# Start production server
npm start

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选