The real catalog of tools for AI agents

The feedback board your AI agents work from: users vote, agents build over MCP. 22 tools.

Manage feedback, ratings, surveys, changelogs, and review tasks in your SeggWat projects.

Read requests and votes; with write access, manage feedback and draft changelogs. OAuth required.

Manage feature requests, votes, roadmaps, and changelogs from any MCP client.

Read and manage feedback posts, votes and comments on Cawcus boards.

Read visual design reviews from live web pages: comments, CSS selectors, styles, console errors.

Visual website feedback, screenshots and team discussion for coding assistants. Self-hosted.

Capture feature requests and bug reports from chat into a searchable, AI-categorized backlog.

Social-choice voting rules (Borda, Copeland, Condorcet, STV, opinion pool) as MCP tools.

Review markdown plans before AI agents build. Annotate, gate-check, apply fixes, session handoffs.

Feature-request board for software teams: users vote, your coding agent pulls top requests over MCP

Customer feedback for your AI assistant: CSAT, NPS and CES scores, response search, AI themes.

UI feedback for AI-assisted building. Click elements, rate them, agents triage via MCP.

Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.

Run a real election or board vote: price it, check state HOA rules, draft the ballot and voter list.

Share prototypes for team review: publish HTML, reviewers pin notes, pull feedback back to apply.

Read your Usero feedback inbox and clusters, file feedback, build forms, and open an AI PR.

Create Feedback Magic widgets — feedback, surveys, changelog, roadmap — from your AI editor.

Video review for agents: upload renders, read time-coded feedback, iterate version by version.

Analyze customer feedback at scale — reviews, surveys, calls. AI-powered themes and sentiment.