# featuriq

> Use this tool when you need to streamline product feedback and roadmap management for SaaS teams, allowing you to browse and update feature requests, search feedback, and manage your roadmap directly from your AI client. It solves problems related to feedback organization, roadmap planning, and user notification, accepting natural language searches as input and providing updated feature statuses as output. Authenticating via OAuth, it integrates seamlessly with your AI assistant, eliminating the need for manual API key setup.

Canonical page: https://skillsregistry.net/skills/carlosalvite-featuriq-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carlosalvite-featuriq-mcp

## Description

Connect your AI assistant to Featuriq — the product feedback and roadmap tool for SaaS teams.

Browse top feature requests, search feedback with natural language, update statuses, notify users when features ship, and manage your roadmap — all from your AI client.

Authenticates via OAuth. No manual API key setup needed.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lsrx7cergt)
- **Repository:** <https://github.com/carlosalvite/featuriq-mcp>

## 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": "carlosalvite-featuriq-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carlosalvite-featuriq-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carlosalvite-featuriq-mcp/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