workflowy: Powerful CLI and MCP server for WorkFlowy: reports, search/replace, backup support, and AI integration

by mholzen · MCP Server · ★ 71

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install workflowy

brew install mholzen/workflowy/workflowy-cli
claude mcp add --transport=stdio workflowy -- workflowy mcp --expose=all

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 77/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claudecligolangllmmcpmcp-servermodel-context-protocol-serveroutlineproductivitytask-management

Quick Facts

Stars71
Forks4
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score77/100
Open Issues9
Last Updated2026-08-14
Created2025-11-23
Platformsclaude-code, cli, go, mcp
Est. Tokens~25k

About workflowy

Workflowy MCP Server & CLI A feature-rich Model Context Protocol (MCP) server and Command Line Interface (CLI) for Workflowy written in Go. Connect your AI assistant (Claude, ChatGPT, etc.) to your Workflowy data or run commands from a terminal emulator or script, including search, bulk replace, usage reports, and offline access capabilities.

Compatible Skills

These tools work well together with workflowy for enhanced workflows:

  • godoctor — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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