product-managementdecision-intelligencefeedbackissue-tracking
MCP server for structuring product ideas, aggregating feedback, scoring priorities, and creating tickets.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Normalize raw feedback into structured ideas, bugs, or tasks
Aggregate product signals from Slack, Teams, Discord, and GitHub
Score ideas using Reach, Impact, Confidence, and Effort
Record product decisions with audit trails
Create tickets in GitHub, Jira, or Linear
Key features
Idea normalization
Signal aggregation
Decision tracking and audit trails
RICE prioritization
GitHub, Jira, and Linear ticket creation
IdeaLift API proxy tools
Capabilities & Tool Schemas (5)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Idealift MCP Server.
normalize_ideaTransform raw text into a structured idea
check_authCheck if user is linked to IdeaLift
list_destinationsGet available GitHub/Jira/Linear projects
create_ticketCreate a ticket in a destination system
connect_destinationConnect a new destination
Documentation Overview
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
| 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
2. Configure environment
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
Or for development:
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
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
1
Stargazers on the source repository.
Last commit
3mo ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.
Reviews
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Frequently Asked Questions about Idealift MCP Server
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CategoryWorkplace & Productivity
PricingBring your own API key (usage-based cost)
51Quality signal: Good · 51/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools27/30
Adoption & activity1/15
Community engagement0/10
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