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Turn YouTube product demos into structured UX flow reports, and compare demos side by side.
FlowScope UX Flow Analyser is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding FlowScope UX Flow Analyser to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx flowscope-mcp==0.1.1Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-07T00:56:36.339578Z",
"publishedAt": "2026-10-07T00:56:36.339578Z",
"statusChangedAt": "2026-10-07T00:56:36.339578Z"
}
},
"server": {
"name": "io.github.DavidNgugi/flowscope",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"notes": "Requires a running FlowScope backend plus ffmpeg and an LLM provider key on the backend host. Not a hosted service.",
"categories": [
"research",
"ux",
"video"
],
"requiresLocalService": true
}
},
"title": "FlowScope UX Flow Analyser",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.1",
"packages": [
{
"version": "0.1.1",
"transport": {
"type": "stdio"
},
"identifier": "flowscope-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "FLOWSCOPE_API_URL",
"format": "string",
"default": "http://127.0.0.1:8000",
"description": "Base URL of the running FlowScope backend. '/api' is appended if absent."
},
{
"name": "FLOWSCOPE_API_TOKEN",
"format": "string",
"isSecret": true,
"description": "Bearer token, only needed when the backend sits behind an authenticating proxy."
},
{
"name": "FLOWSCOPE_MAX_WAIT",
"format": "number",
"default": "900",
"description": "Default seconds that flowscope_analyze_video waits for a job before returning a job id."
}
]
}
],
"repository": {
"url": "https://github.com/DavidNgugi/flowscope",
"source": "github",
"subfolder": "mcp"
},
"websiteUrl": "https://github.com/DavidNgugi/flowscope",
"description": "Turn YouTube product demos into structured UX flow reports, and compare demos side by side."
}
}