idealift-mcp-server

IdeaLift MCP Server is an MCP (Model Context Protocol) server provided by IdeaLift, positioned as "decision intelligence for AI assistants." Its goal is to connect AI assistants to the product backlog, allowing users to capture feedback, track decisions, and manage ideas without leaving their AI workflow.

Purpose

• Connect Claude, ChatGPT, and other AI assistants to the product backlog.
• Centralize feedback, decisions, and ideas within the product management process, reducing switching between multiple tools.

Key capabilities

• Normalize ideas: Convert 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 made a decision, when, and why, with a complete audit trail.
• RICE scoring: Prioritize ideas using the four dimensions of Reach, Impact, Confidence, and Effort.
• Ticket creation: Push structured ideas to GitHub Issues, Jira, or Linear.
• Agent tools: Provide access to the full IdeaLift API, covering ideas, signals, decisions, and roadmap.

How to use

1. Install dependencies.
2. Configure environment variables (the material lists "Required environment variables," but does not provide the specific variable names and values).
3. Build and run; there is also a separate way to run in development mode. The MCP server starts on port 3001 by default and can be configured via PORT.
4. Connect to an AI assistant: The SSE endpoint is http://localhost:3001/mcp，将该 URL as an MCP server to Claude Desktop, ChatGPT, or any MCP-compatible client.

Technical details

• Uses Server-Sent Events (SSE) transport and automatically sends a keep-alive ping every 15 seconds.
• Built-in OAuth 2.0 flow for connecting AI assistant users to their IdeaLift accounts, supporting the authorization code grant with PKCE.
• Deployed as an Azure App Service; for hosted access, see the IdeaLift documentation.

Use cases

• Product teams collecting and organizing user feedback directly within AI conversations.
• Teams that need to record the rationale for decisions and an audit trail.
• Workflows that need to prioritize ideas using the RICE method and sync them to GitHub Issues, Jira, or Linear.

Limitations

• The material does not provide the specific environment variable names, dependency installation commands, build commands, development mode commands, license, pricing, or the specific way to obtain the hosted service; this information is not currently available.