Featurebase MCP server

Connect AI tools to your Featurebase workspace and manage feedback, support, and product data through natural language.

Written By Markus from Featurebase

Last updated 2 days ago

Overview

The Featurebase MCP server lets AI tools and assistants like Claude, ChatGPT, and Cursor securely connect to your Featurebase workspace.

Once connected, AI agents can read, create, and update data across Featurebase – no custom integration work required.

What is Featurebase MCP?

MCP (Model Context Protocol) is an open standard for connecting AI tools to external systems, so any MCP-compatible client can talk to Featurebase out of the box.

The MCP server is built directly on top of our public API, which means anything you can do with the Featurebase API, an AI agent can do for you in plain conversation:

  • Easy setup – Connect with OAuth in a few clicks and start managing your workspace through chat

  • Works with any MCP client – Claude, ChatGPT, Cursor, VS Code, Windsurf, and most other AI tools

  • Full workspace access – Manage feedback, support conversations, users, changelogs, Help Center articles, and more

  • Secure by design – AI tools authenticate as your Featurebase user and inherit your existing permissions

Note: AI agents acting through the MCP have the same access you do, so only connect tools you trust.

What you can do with the MCP

Since the MCP mirrors the Featurebase API, AI agents can take action across your entire workspace. Some of the most common areas include:

  • Feedback & Roadmaps – Read, create, update, search, merge, tag feedback posts, or even move posts between statuses and notify subscribers automatically

  • Support Inbox – Read conversations, draft replies, assign teammates, snooze, and close threads

  • Help Center – Read, create, update, and reorganize articles and collections

  • Users & companies – Search and update customer data, add tags, and manage segments

  • Changelog – Draft, publish, and edit changelog releases

  • Surveys – Pull responses and analyze results

  • Tags & custom fields – Bulk-organize feedback by category, priority, or product area

Tip: For the full list of available actions, see our API reference. Anything available there is also available through the MCP.

Getting started

Connect Featurebase with your AI tool:

  1. Before connecting Featurebase MCP, ensure you have:

    • An active Featurebase workspace (on the Professional plan)

    • An MCP-compatible AI client (Claude Desktop, Claude.ai, ChatGPT, Cursor, etc.)

  2. Go to Featurebase Settings → Developers → MCP

  3. Follow the setup guide for your desired AI tool

You can revoke MCP access at any time from your Featurebase account settings.

Note: If your AI tool doesn't yet support remote MCP servers, you can connect through the mcp-remote proxy package as a bridge.

Example use cases

Here are a few ways teams use the Featurebase MCP day-to-day:

Support suite

  • Chat with your Help Center – Ask questions across your full documentation and get instant answers grounded in your actual articles

  • Draft and update Help Center articles – Write new articles, refresh outdated ones, or restyle old content to match your current voice – all through chat

  • Audit your docs for gaps – Have AI scan your Help Center against recent product changes and flag articles that need updating

  • Generate articles from support trends – Ask AI to find recurring questions in your Inbox and draft new help articles to address them

  • Triage and draft replies – Pull conversation context from the Inbox and have AI draft personalized replies grounded in the customer's history

Product suite

  • Analyze feedback trends – Ask about themes, sentiment, or feature interest across all incoming feedback ("What are users complaining about most this month?")

  • Turn call transcripts into feedback posts – Build a custom Claude Cowork automation that pulls insights from sales or support call transcripts and either creates new posts or adds them as comments to existing ones

  • Triage incoming feedback – Find and merge duplicate posts, or bulk-tag everything mentioning a specific feature or product area

  • Draft changelogs – Generate changelog releases from completed roadmap items, with proper categorization and release notes

  • Generate product reports – Get weekly or monthly digests of feedback grouped by tag, status, or customer tier

  • Analyze survey responses – Pull patterns and sentiment from open-ended survey answers across hundreds of responses

General

  • Summarize customer history – Get a full summary of a customer's past conversations, feedback, and feature requests before you reply

  • Bulk user data management – Update tags, attributes, or segments across hundreds of users in a single chat

FAQ