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Pincushion

Pincushion

Local
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About Pincushion

Stakeholders pin feedback on your live app; your AI agent reads the pins via MCP and fixes them.

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "jcooley8-pincushion": {
      "command": "npx",
      "args": [
        "-y",
        "pincushion-mcp"
      ]
    }
  }
}
Run commandnpx -y pincushion-mcp

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
npmpincushion-mcp1.12.1

Tools

66

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
viewenumNoCompact critique projection with selectors and bounded pin text.critique
statusenumNoFilter by statusopen | in-progress | resolved
pageUrlstringNoFilter by page URL (partial match OK). e.g. "WML_Care_Home"
pageUrlsarrayNoExact URLs to read in one batched critique lookup.
projectIdstringNoProject ID, required for the compact critique view.
componentNamestringNoFilter by LWC component name. e.g. "wmlHomePage" or "c-wml-home-page"
critiqueRunIdstringNoFilter to pins from one exact Crit run for report read-back.

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.