IdeaLift MCP Server
Allows capturing product feedback and signals from Discord to be processed and normalized into structured ideas.
Enables capturing feedback from GitHub and pushing structured ideas directly to GitHub Issues for project management.
Allows pushing structured feature requests, bug reports, and tasks directly to Jira projects.
Provides tools for creating and managing tickets in Linear projects from normalized product ideas and user feedback.
Enables the aggregation of product feedback and user signals from Slack channels into the product management workflow.
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
Related MCP server: pm-copilot
MCP Tools
Tool | Auth Required | Description |
| No | Transform raw text into a structured idea |
| No | Check if user is linked to IdeaLift |
| Yes | Get available GitHub/Jira/Linear projects |
| Yes | Create a ticket in a destination system |
| Yes | Connect a new destination |
Plus proxy tools for full IdeaLift API access (ideas, signals, decisions, roadmap).
Setup
1. Install dependencies
npm install2. Configure environment
cp .env.example .envRequired environment variables:
Variable | Description |
| IdeaLift API base URL |
| Service-to-service auth key |
| SQL Server host |
| Database name |
| Database user |
| Database password |
| For idea normalization |
3. Build and run
npm run build
npm startOr for development:
npm run devThe 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
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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