markupr

markupR is a local-first desktop capture tool that records screen + optionally voice/narration, aligns the transcript with captured timestamps, extracts relevant frames, enriches the report with context (cursor/app/window/focus hints when available), and outputs structured Markdown (including inline screenshots) for AI coding agents. It also provides a CLI for processing existing recordings and an MCP server for agent-driven capture/analysis workflows.

Evaluated Mar 30, 2026 (21d ago)
Homepage ↗ Repo ↗ Ai Ml ai-agents mcp desktop-app cli screen-recording screenshot transcription markdown developer-tools local-first electron whisper ffmpeg
⚙ Agent Friendliness
58
/ 100
Can an agent use this?
🔒 Security
33
/ 100
Is it safe for agents?
⚡ Reliability
41
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
75
Error Messages
0
Auth Simplicity
95
Rate Limits
0

🔒 Security

TLS Enforcement
50
Auth Strength
20
Scope Granularity
0
Dep. Hygiene
45
Secret Handling
55

The tool is described as local-first with no account requirement and (per README) no telemetry/tracking. No explicit guidance is provided for secret handling in MCP/CLI beyond a GitHub Action example using `github-token`. As an Electron/desktop app using native capabilities (screen/mic capture), user-granted OS permissions are a primary security boundary; detailed permission/scoping behavior is not described. TLS/auth for any remote calls are not evidenced in the provided content.

⚡ Reliability

Uptime/SLA
0
Version Stability
55
Breaking Changes
40
Error Recovery
70
AF Security Reliability

Best When

You want local screen/voice capture and then want structured Markdown with screenshots/timestamp alignment for an AI coding agent to act on quickly.

Avoid When

You need a pure web SaaS API with documented REST/GraphQL contracts, or you cannot install/run local binaries (Electron app/Node CLI/ffmpeg/whisper-node).

Use Cases

  • Capturing bug reports with visual evidence plus narration/context for AI coding agents
  • Generating structured, agent-executable Markdown from existing screen recordings (CLI/CI)
  • Interactive agent workflows via MCP tools (capture_screenshot, capture_with_voice, analyze_video, etc.)
  • Automated processing of new recordings in a watched directory
  • Turning generated feedback reports into GitHub/Linear issue formats

Not For

  • High-assurance, audited medical/financial capture pipelines (no evidence of formal compliance controls)
  • Teams requiring guaranteed remote storage or centralized logging (claims emphasize local-first/no telemetry)
  • Services that need a stable, documented HTTP API contract (MCP/CLI are primary interfaces; no OpenAPI shown)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: No explicit authentication described for MCP/CLI (runs locally via npx/CLI)
OAuth: No Scopes: No

No API keys, OAuth, or scope model is described for the MCP/CLI flows in the provided README. If GitHub push is used, it requires a `github-token` in the GitHub Action example, but the token handling is external to this README.

Pricing

Free tier: No
Requires CC: No

README indicates local-first processing with Whisper running on-device. No paid tier/pricing information is provided in the supplied content.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • MCP tools may depend on OS permissions for screen/mic capture and may fail if permissions are denied (not explicitly documented in provided content).
  • Quality depends on availability of ffmpeg and Whisper model; pipeline degrades gracefully but results may be reduced (transcript-only / timer-based screenshots).
  • Interactive recording sessions (start_recording/stop_recording) are stateful; agents should avoid interrupting sessions unexpectedly.

Alternatives

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for markupr.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo

Scores are editorial opinions as of 2026-03-30.

8642
Packages Evaluated
17761
Need Evaluation
586
Need Re-evaluation
Community Powered