mcpField
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feedback-magic

feedback-magic

Local
feedback-magic.comBusiness & Marketing
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About feedback-magic

Create Feedback Magic widgets (feedback, surveys, changelog, roadmap) from your AI editor

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "com-feedback-magic-feedback-magic": {
      "command": "npx",
      "args": [
        "-y",
        "feedback-magic-mcp"
      ],
      "env": {
        "FEEDBACK_MAGIC_TOKEN": "<FEEDBACK_MAGIC_TOKEN>"
      }
    }
  }
}
Run commandnpx -y feedback-magic-mcp
Environment variables to set
FEEDBACK_MAGIC_TOKENSecretAn fm_sk_… API token, created in the Feedback Magic dashboard under Settings → API & MCP. Scoped to one workspace; provisioning and metadata by default, with read access to feedback as an explicit opt-in per token.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmfeedback-magic-mcp1.3.1

Tools

9

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.