Sensecritiq

io.github.salvisarePublished by GitHub account salvisarev0.1.3Updated Oct 24, 2026

UX research synthesis. Upload interviews and get themes, findings, and verbatim quotes in minutes.

Overview

AI-generated overview

Local MCP server that connects an assistant to SenseCritiq for UX research synthesis, turning uploaded interviews into themes, findings and verbatim quotes.

What you can do
  • Send interview material to SenseCritiq for UX research synthesis
  • Retrieve synthesized themes and findings from uploaded interviews
  • Get verbatim quotes extracted from the research material
  • No individual tools are listed in the manifest, so exact operations are not documented here.
When to use it
Useful when you have user interview transcripts or recordings and want an assistant to help produce themes, findings and supporting quotes without manual coding.
Requirements
Runs as a local process installed from the PyPI package sensecritiq-mcp over stdio, so Python is needed. Requires a SenseCritiq account and API key supplied through the SCQ_API_KEY environment variable. Desktop only; no web executable.
Before you install
The server needs your SenseCritiq API key in SCQ_API_KEY, so keep it out of shared configs. Interview content you upload is sent to SenseCritiq's service, which matters if participants' personal or sensitive data is involved. No tools or write behavior are documented, so review what it does before use.

Installation

In SourceWeft

  1. Open Sensecritiq in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

This repository has no README.

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.3LatestSep 16, 2026

Score

25% of the applicable checks met

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