featuriq
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.
README
featuriq-mcp
An MCP (Model Context Protocol) server for Featuriq — the product feedback and roadmap tool for PMs.
Connect your Featuriq workspace to any MCP-compatible AI client (Claude Desktop, Cursor, etc.) and query your feature requests, search customer feedback, run AI prioritization, update statuses, and notify users — all from natural language.
Installation
Option 1 — run directly with npx (no install required)
npx featuriq-mcp
Option 2 — install globally
npm install -g featuriq-mcp
featuriq-mcp
Setup
1. Get your API key
Log in to featuriq.io, go to Settings → API, and copy your API key.
2. Set the environment variable
export FEATURIQ_API_KEY=fq_live_xxxxxxxxxxxxxxxxxxxx
Or copy .env.example to .env and fill in your key if your client supports .env files.
| Variable | Required | Default | Description |
|---|---|---|---|
FEATURIQ_API_KEY |
Yes | — | Your Featuriq API key |
FEATURIQ_API_URL |
No | https://api.featuriq.io/v1 |
Override the API base URL |
3. Add to your MCP client
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"featuriq": {
"command": "npx",
"args": ["featuriq-mcp"],
"env": {
"FEATURIQ_API_KEY": "fq_live_xxxxxxxxxxxxxxxxxxxx"
}
}
}
}
Cursor
Add to your Cursor MCP settings:
{
"featuriq": {
"command": "npx featuriq-mcp",
"env": {
"FEATURIQ_API_KEY": "fq_live_xxxxxxxxxxxxxxxxxxxx"
}
}
}
Available Tools
get_top_requests
Returns the top feature requests sorted by vote count or revenue impact.
Parameters:
limit(number, default 10) — how many results to returnsort_by("votes" | "revenue_impact", default "votes") — sort order
Example prompts:
- "What are the top 5 most-requested features?"
- "Show me the highest revenue impact requests."
search_feedback
Semantically searches all feedback posts using natural language — finds relevant results even when the exact words don't match.
Parameters:
query(string) — what to search forlimit(number, default 10) — max results
Example prompts:
- "Find feedback about slow dashboard loading."
- "Search for requests related to CSV export."
- "What are users saying about mobile performance?"
get_feature_feedback
Returns all comments and discussion for a specific feature request.
Parameters:
feature_id(string) — the feature's unique ID
Example prompts:
- "Show me all feedback on feature feat_01j8k..."
- "What are users saying about the API rate limit request?"
get_prioritization
Returns an AI-prioritized list of features, scored across the factors you choose.
Parameters:
factors(array) — one or more of: "votes", "revenue", "effort", "strategic_fit"limit(number, default 10)
Example prompts:
- "Prioritize our backlog by votes and revenue impact."
- "Give me the top 10 features ranked by votes, effort, and strategic fit."
- "What should we build next quarter based on revenue and strategic alignment?"
update_feature_status
Updates the status of a feature request.
Parameters:
feature_id(string) — the feature's unique IDstatus("planned" | "in_progress" | "shipped" | "closed")
Example prompts:
- "Mark feature feat_01j8k as in_progress."
- "Set the dark mode request to shipped."
- "Close the feature request for legacy IE support."
notify_requesters
Sends a personalized notification to every user who voted for a feature.
Parameters:
feature_id(string) — which feature's voters to notifymessage(string) — the message to send (Featuriq personalizes it per recipient)
Example prompts:
- "Notify everyone who requested CSV export that it's now live."
- "Tell the users who voted for dark mode that we're starting work on it next sprint."
create_post
Creates a new feedback post on a Featuriq board.
Parameters:
board_id(string) — which board to post totitle(string) — short title for the postdescription(string) — full description
Example prompts:
- "Log a feature request for bulk CSV import on the features board."
- "Create a post for the Slack integration idea from today's customer call."
Available Resources
Resources are data sources that the AI can read at any time for context.
featuriq://roadmap
The current roadmap grouped by status: In Progress, Planned, and Recently Shipped.
Example prompts:
- "What's on our current roadmap?"
- "What features are in progress right now?"
featuriq://changelog
The last 20 shipped features with ship dates and release notes.
Example prompts:
- "What have we shipped recently?"
- "Write a summary of our last month's product updates."
Example Conversation
You: What are the top feature requests we haven't started yet, and which ones should we prioritize based on votes and revenue impact?
Claude: (calls
get_top_requestsandget_prioritization) Here are your top unstarted requests...
You: Great. Mark the #1 one as in_progress and notify everyone who voted for it.
Claude: (calls
update_feature_statusthennotify_requesters) Done! Status updated and 47 users notified.
Development
git clone https://github.com/featuriq/featuriq-mcp
cd featuriq-mcp
npm install
npm run build
FEATURIQ_API_KEY=your_key node dist/index.js
To watch for changes during development:
npm run dev
License
MIT © Featuriq
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