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Idealift MCP Server

مجتمعي أدوات المطورين

Decision intelligence with signal aggregation, RICE scoring and decision audit trails, capturing product feedback from Slack, Teams, Discord and GitHub.

الشيفرة المصدرية التوثيق

ماذا يمكنك أن تفعل مع Idealift MCP Server؟

  • Normalize ideas — Transform raw text into structured feature requests, bug reports, or tasks
  • Signal aggregation — Capture product feedback from Slack, Teams, Discord, and GitHub
  • Decision tracking — Record who decided what, when, and why with full audit trails
  • RICE scoring — Prioritize ideas with Reach, Impact, Confidence, and Effort scores
  • Ticket creation — Push structured ideas to GitHub Issues, Jira, or Linear

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. IdeaLift MCP Server
  2. What it does
  3. MCP Tools
  4. Setup
  5. Transport
  6. OAuth
  7. Deployment
  8. License

IdeaLift MCP Server

Decision intelligence for AI assistants via Model Context Protocol.

Connect Claude, ChatGPT, and other AI assistants to your product backlog. Capture feedback, track decisions, and manage ideas without leaving your AI workflow.

What it does

  • Normalize ideas — Transform raw text into structured feature requests, bug reports, or tasks
  • Signal aggregation — Capture product feedback from Slack, Teams, Discord, and GitHub
  • Decision tracking — Record who decided what, when, and why with full audit trails
  • RICE scoring — Prioritize ideas with Reach, Impact, Confidence, and Effort scores
  • Ticket creation — Push structured ideas to GitHub Issues, Jira, or Linear

MCP Tools

ToolAuth RequiredDescription
normalize_ideaNoTransform raw text into a structured idea
check_authNoCheck if user is linked to IdeaLift
list_destinationsYesGet available GitHub/Jira/Linear projects
create_ticketYesCreate a ticket in a destination system
connect_destinationYesConnect a new destination

Plus proxy tools for full IdeaLift API access (ideas, signals, decisions, roadmap).

Setup

1. Install dependencies
npm install
2. Configure environment
cp .env.example .env

Required environment variables:

VariableDescription
IDEALIFT_APP_URLIdeaLift API base URL
INTERNAL_API_KEYService-to-service auth key
DATABASE_HOSTSQL Server host
DATABASE_NAMEDatabase name
DATABASE_USERNAMEDatabase user
DATABASE_PASSWORDDatabase password
OPENAI_API_KEYFor idea normalization
3. Build and run
npm run build
npm start

Or for development:

npm run dev

The MCP server starts on port 3001 (configurable via PORT).

4. Connect to your AI assistant

SSE endpoint: http://localhost:3001/mcp

Add this URL as an MCP server in Claude Desktop, ChatGPT, or any MCP-compatible client.

Transport

Uses Server-Sent Events (SSE) transport with automatic keep-alive pings every 15 seconds.

OAuth

Built-in OAuth 2.0 flow for connecting AI assistant users to their IdeaLift accounts. Supports authorization code grant with PKCE.

Deployment

Deployed as an Azure App Service. See the IdeaLift docs for hosted access.

License

MIT

الأسئلة الشائعة

ما هو Idealift MCP Server؟

Decision intelligence with signal aggregation, RICE scoring and decision audit trails, capturing product feedback from Slack, Teams, Discord and GitHub.

كيف أثبّت Idealift MCP Server؟

اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.

هل Idealift MCP Server مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص MIT.

من يصون Idealift MCP Server؟

ينشره Startvest-LLC. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.