Official description7 sourcesMCP servers8d ago

Startvest-LLC/idealift-mcp-server

IdeaLift MCP Server - Decision intelligence for AI assistants. Captures product feedback, tracks decisions, and manages your backlog via Model Context Protocol.

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Config template (adjust for your client)

claude mcp add idealift-mcp-server -- npx -y idealift-mcp-server

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 1 ★ · Startvest-LLC/idealift-mcp-server · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 1 ★ · 7 sources · mcp

FAQ (answers come from our records)

How do I install it?

We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

repository Startvest-LLC/idealift-mcp-server；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

IdeaLift MCP Server

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

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