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AI Agents · Model Context Protocol

Turn customer feedback into product work with AI.

Connect Claude, ChatGPT, Cursor, Codex, or any MCP-compatible client to Suggix. Search feedback, manage feature requests, update your roadmap, and publish changelogs with natural language.

Get startedSee what you can do

No local installation. No SDK. Just connect your AI client to Suggix.

Workflows

One sentence moves the whole loop.

Ask your AI agent to work with customer feedback, update your roadmap, or turn shipped work into a changelog. Suggix MCP handles the underlying product operations for you.

01

Monday feedback triage

Find new feedback from this week, ignore spam, and move the relevant requests to Review.

MCP tools

workspace_contextfeedback_listfeedback_update

Start the week with an organized feedback backlog without opening the Suggix dashboard.

02

Keep the roadmap moving

Show me the highest-priority roadmap items and move the ones we are working on to In Progress.

MCP tools

workspace_contextroadmap_listroadmap_update

Review priorities and keep your roadmap up to date using natural language.

03

Ship a changelog

Create a changelog for the features we shipped this week and schedule it for tomorrow.

MCP tools

changelog_listchangelog_createchangelog_update

Turn shipped product work into a ready-to-publish changelog without switching tools.

The Suggix product loop

Close the loop with AI.

From customer feedback to roadmap decisions to product updates, give your AI agent the context and tools it needs to move product work forward.

01

Collect feedback

Bring customer requests and product ideas into one place. Your AI agent can search, review, create, and update feedback in Suggix.

feedback_*
02

Plan the roadmap

Turn feedback into product work. Your AI agent can review roadmap items and update their status, owner, priority, or due date.

roadmap_*
03

Share what shipped

Close the loop with your customers. Your AI agent can create, update, publish, or schedule changelogs for completed work.

changelog_*

Your feedback already lives in Suggix. MCP gives your AI agent a way to work with it.

Capabilities

Everything your agent needs to work in Suggix.

Suggix MCP gives AI agents access to the core data and actions behind your product feedback workflow.

Feedback

5

Search, inspect, create, update, and permanently delete feedback items. Filter feedback by board, status, owner, priority, keywords, and more.

feedback_listfeedback_getfeedback_createfeedback_updatefeedback_delete

Comments

1

Read comments and replies attached to feedback. Use customer discussions as additional context when analyzing product requests.

comment_list

Roadmap

2

View roadmap items and update their status, owner, priority, or due date. Keep product planning in sync with your feedback.

roadmap_listroadmap_update

Changelog

5

List, inspect, create, update, publish, schedule, and permanently delete changelogs directly through your AI agent.

changelog_listchangelog_getchangelog_createchangelog_updatechangelog_delete

Workspace context

1

Retrieve the workspace context your agent needs, including boards, statuses, and tags. Use the correct IDs when creating or updating feedback.

workspace_context

Users

3

List and inspect workspace users, then update supported user attributes such as starred status, disabled status, and monthly spend.

user_listuser_getuser_update

17 tools across feedback, roadmap, changelog, workspace, comments, and users.

Connect your AI

Use Suggix from the AI client you already use.

Suggix MCP is a remote server. Connect it to any MCP-compatible AI client and give your agent access to your product workspace.

Claude Code

Connect Suggix to Claude Code and let it work with your feedback, roadmap, and changelogs.

View setup guide

ChatGPT/Codex

Give ChatGPT/Codex access to your Suggix workspace through an MCP connection.

View setup guide

Cursor

Work with product feedback and planning data while you build your product.

View setup guide

Antigravity

Let Antigravity access Suggix context and perform product management tasks.

View setup guide

Connect in minutes

Add the Suggix MCP endpoint to your AI client and authenticate with your Suggix MCP key.

MCP endpoint

https://www.suggix.com/mcp

Authentication

Authorization: Bearer YOUR_MCP_KEY

Suggix MCP uses the Model Context Protocol, so you can also connect any other client that supports remote MCP servers.

Why MCP

Your product data, available to your AI.

MCP gives your AI client a standard way to understand and work with your Suggix workspace.

01

Remote by default

Connect directly to Suggix over HTTP. There is nothing to install or maintain on your machine.

02

Workspace-aware

Your agent can discover the boards, statuses, tags, and other workspace context it needs before working with your product data.

03

Read and write

This is more than a search layer. Your agent can create and update feedback, move roadmap items, and publish changelogs.

Ask your agent to find a request, update its status, and add it to your roadmap.

No dashboard hopping. No custom integration for every workflow.

Frequently Asked Questions

Everything you need to know about Suggix MCP

Suggix MCP is a Model Context Protocol server that lets AI agents and assistants connect directly to your Suggix workspace. AI clients can read and manage feedback, roadmap items, changelogs, comments, and users through MCP.

AI agents can list, search, create, update, and delete feedback; read comments; access workspace configuration such as boards, statuses, and tags; view and update roadmap items; list, create, update, and delete changelogs; and list, view, and update workspace users.

Yes. Suggix MCP supports creating and updating feedback. An AI agent can create feedback with a board and title, and optionally set its description, owner, due date, status, priority, and tags. Existing feedback can also be updated or permanently deleted.

Yes. Suggix MCP provides roadmap tools for viewing and updating roadmap items. AI agents can update the status, owner, priority, or due date of a roadmap item, helping them work with your existing product planning workflow.

Yes. AI agents can list and view existing changelogs, as well as create, update, and permanently delete changelogs. When creating or updating a changelog, an agent can set its title, content, publication status, and scheduled publication time.

Yes. Suggix MCP provides a read-only comment tool that allows AI agents to retrieve comments for a feedback item and, when needed, retrieve replies to a specific comment.

Yes. The workspace context tool provides non-sensitive workspace configuration together with all available Boards, Statuses, and Tags. AI agents can use these IDs when creating or updating feedback.

Yes. Suggix MCP can list and retrieve workspace users. It can also update a user’s starred status, disabled status, or monthly spend information.

MCP (Model Context Protocol) is an open protocol that allows AI applications to connect to external tools and data sources through a standard interface. Suggix MCP makes your product feedback and management data available to compatible AI clients.

Suggix MCP uses a Suggix MCP key for authentication. The key is provided as a Bearer token when connecting an MCP-compatible AI client to the Suggix MCP server.

No. Suggix provides the MCP server as a remote service, so you do not need to install or maintain an MCP server yourself. You only need to configure your MCP-compatible AI client to connect to Suggix.

Yes. Suggix MCP works with your existing Suggix workspace. Your AI agent can work with the feedback, roadmap, changelogs, comments, and users already stored in that workspace.

Build what users love, together

Collect feedback, prioritize features, and keep your roadmap aligned with what actually matters.

Get Started — It’s Free

No credit card required · 14-day free trial · Setup in minutes