Featuriq
@carlosalvite
About Featuriq
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"featuriq": {
"type": "http",
"url": "https://mcp.featuriq.io"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Featuriq?
Featuriq is an MCP (Model Context Protocol) server that connects your Featuriq workspace — a product feedback and roadmap tool for product managers — to any MCP‑compatible AI client (e.g., Claude Desktop, Cursor). It lets you query feature requests, search customer feedback, run AI prioritization, update statuses, notify users, and create posts using natural language.
How to use Featuriq?
Install the server globally with npm install -g featuriq-mcp or run it directly via npx featuriq-mcp. Set the FEATURIQ_API_KEY environment variable (obtainable from Featuriq Settings → API). Configure your MCP client (e.g., Claude Desktop or Cursor) to start the server with the appropriate command and environment variables.
Key features of Featuriq
- Query top feature requests by votes or revenue impact
- Semantic search across all feedback posts
- Retrieve all comments and discussion for a specific feature
- AI‑prioritized backlog scoring across multiple factors
- Update feature statuses (planned, in_progress, shipped, closed)
- Send personalized notifications to feature voters
Use cases of Featuriq
- Ask an AI assistant to show the most‑requested features and prioritize them by votes and revenue.
- Search for customer feedback about a specific topic (e.g., “slow dashboard loading”) without needing exact keywords.
- Update a feature’s status to “in_progress” and automatically notify all users who voted for it.
- Create a new feedback post on a board directly from a conversation.
- Retrieve the current roadmap (grouped by status) and recent changelog for context.
FAQ from Featuriq
What is Featuriq?
Featuriq is a product feedback and roadmap tool for product managers. The MCP server allows AI clients to interact with its data.
How do I get my API key?
Log in to Featuriq, go to Settings → API, and copy your API key. Set it as the FEATURIQ_API_KEY environment variable.
What environment variables are required?
FEATURIQ_API_KEY is required. Optionally, FEATURIQ_API_URL can override the default API base URL (https://featuriq.io/v1).
Which MCP clients are supported?
The server works with any MCP‑compatible client; examples include Claude Desktop and Cursor. Configuration examples are provided for both.
What tools does the server provide?
Tools include: get_top_requests, search_feedback, get_feature_feedback, get_prioritization, update_feature_status, notify_requesters, and create_post. Two resources (featuriq://roadmap and featuriq://changelog) are also available.
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