Feedback MCP Server

Feedback MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Feedback Analyzer Ai tools for AI agents. Capabilities: analyze feedback, extract themes, se...

What you get

Analyze customer feedback for sentiment, themes, and actionable insights.

Setting it up

The server ships on npm as @smithery/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What the assistant can call

Once Feedback is connected, these are the calls the assistant has available:

• Well — documented API
• Production-ready — Active maintenance
• Pro — ** $99/mo — Full MCP suite + EU AI Act tracking
• Enterprise — ** $499/mo — Custom dev + SLA + Dedicated support
• Domain — Purpose
• Tier — Price

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the feedback mcp server does with a few real requests.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Feedback's toolset — Well, Production-ready, Pro and 3 more — is a fair guide to whether it matches your workflow. It is maintained by CSOAI-ORG; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.