# IdeaLift

> Use this tool when you need to streamline idea management and decision-making processes for product teams, solving problems like disorganized feedback and unclear decision rationales. IdeaLift takes in natural language queries and outputs tracked ideas, customer signals, and decision analytics, enabling teams to make data-driven decisions. Ideal for product development and innovation contexts, IdeaLift integrates with AI assistants to facilitate comprehensive idea lifecycle management.

Canonical page: https://skillsregistry.net/skills/idealift  
JSON: https://api.skillsregistry.net/v1/skills/idealift

## Description

IdeaLift is a decision intelligence platform by Startvest that helps product teams track ideas, decisions, and customer signals. The MCP server enables AI assistants to interact with IdeaLift's idea management system through natural language queries, supporting operations like creating and searching ideas, tracking decision rationale, managing customer signals, and surfacing trending patterns across communication channels. The server exposes 12 tools and 4 resource types for comprehensive idea lifecycle management.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/idealift)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "idealift"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/idealift` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/idealift/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt