moling: Computer-use and browser-use based MCP server. It is a locally deployed, dependency-free office AI assistant

by gojue · MCP Server · ★ 339

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

How to install moling

git clone https://github.com/gojue/moling.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 75/100

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. Full audit →

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.

agentaiai-agentai-assistantllmmcp

Quick Facts

Stars339
Forks40
LanguageGo
CategoryMCP Server
LicenseApache-2.0
Quality Score75/100
Open Issues1
Last Updated2026-03-15
Created2025-03-21
Platformsbrowser, go, mcp
Est. Tokens~16k

About moling

MoLing MCP Server English 日本語 Introduction MoLing is a computer-use and browser-use MCP Server that implements system interaction through operating system APIs, enabling file system operations such as reading, writing, merging, statistics, and aggregation, as well as the ability to execute system commands. It is a dependency-free local office automation assistant.

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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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