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IdeaLift Server

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re-backlog idea management with decision tracking, signal aggregation, and RICE scoring. Captures product feedback from Slack, Teams, Discord, and GitHub

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Описание

re-backlog idea management with decision tracking, signal aggregation, and RICE scoring. Captures product feedback from Slack, Teams, Discord, and GitHub

README

idealift-mcp-server MCP server

Decision intelligence for AI assistants via Model Context Protocol.

idealift-mcp-server MCP server

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

Tool Auth Required Description
normalize_idea No Transform raw text into a structured idea
check_auth No Check if user is linked to IdeaLift
list_destinations Yes Get available GitHub/Jira/Linear projects
create_ticket Yes Create a ticket in a destination system
connect_destination Yes Connect 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:

Variable Description
IDEALIFT_APP_URL IdeaLift API base URL
INTERNAL_API_KEY Service-to-service auth key
DATABASE_HOST SQL Server host
DATABASE_NAME Database name
DATABASE_USERNAME Database user
DATABASE_PASSWORD Database password
OPENAI_API_KEY For 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

from github.com/Startvest-LLC/idealift-mcp-server

Установить IdeaLift Server в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install idealift-mcp-server

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add idealift-mcp-server -- npx -y github:Startvest-LLC/idealift-mcp-server

Пошаговые гайды: как установить IdeaLift Server

FAQ

IdeaLift Server MCP бесплатный?

Да, IdeaLift Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для IdeaLift Server?

Нет, IdeaLift Server работает без API-ключей и переменных окружения.

IdeaLift Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить IdeaLift Server в Claude Desktop, Claude Code или Cursor?

Открой IdeaLift Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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