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MCP unreviewed Apache-2.0 Self-run

Linkly Ai Skills

mcp-linklyai-linkly-ai-skills · by LinklyAI

Agent Skills for Linkly AI — search, browse, and read your local documents from any AI coding agent.

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Install

$ agentstack add mcp-linklyai-linkly-ai-skills

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Linkly AI Skills

Agent Skills for Linkly AI — search, browse, and read your local documents (and linked cloud libraries) from any AI coding agent.

This skill teaches AI agents how to use Linkly AI's document search capabilities, enabling them to find and read your locally indexed documents (PDF, Markdown, DOCX, PPTX, EPUB, TXT, HTML, and more) as well as cloud libraries you've linked via Linkly Web.

What is Linkly AI?

Linkly AI is a desktop application that indexes documents on your computer and provides full-text search, structural outlines, and content reading through a local MCP server. Through the mcp.linkly.ai cloud gateway it can also reach cloud libraries you've linked via Linkly Web. Think of it as a knowledge base — local and cloud — that AI agents can query.

What Does This Skill Do?

When installed, this skill enables AI agents to:

  • Search your local documents (and linked cloud libraries) by keywords with relevance ranking, time windows, and path filters
  • Find paths for fuzzy or cross-language container names ("in my WeChat", "在 Notion 笔记里") by matching against the indexed file paths
  • Explore the knowledge base for an overview of themes, document types, and recent activity
  • List libraries to discover and search within specific knowledge bases
  • Browse document outlines to understand structure before diving in
  • Grep for specific text patterns with regex matching
  • Read document content with line-based pagination
  • Diagnose issues with linkly doctor when things aren't working
  • Auto-detect whether to use CLI commands or MCP tools based on the environment
  • Guide setup if Linkly AI is not yet installed

The skill supports two access modes:

| Mode | When Used | How It Works | | ---- | ------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | CLI | Agent has Bash/terminal access | Runs linkly CLI commands (preferred when both are available) | | MCP | Agent has MCP tool access | Calls search / find_paths / outline / grep / read / list_libraries / explore MCP tools — via the local server or the mcp.linkly.ai cloud gateway (which also serves linked cloud libraries) |

Prerequisites

  1. Linkly AI desktop appdownload from linkly.ai
  2. Linkly AI CLI (for CLI mode) — see [installation](#cli-installation)

CLI Installation

macOS / Linux:

curl -sSL https://updater.linkly.ai/cli/install.sh | sh

Or via Homebrew:

brew tap LinklyAI/tap
brew install linkly

Windows (PowerShell):

irm https://updater.linkly.ai/cli/install.ps1 | iex

Cross-platform (requires Rust):

cargo install linkly-ai-cli

Installing This Skill

skills.sh (Recommended)

Install to all supported agents with a single command:

npx skills add LinklyAI/linkly-ai-skills

Or install to a specific agent:

# Claude Code only
npx skills add LinklyAI/linkly-ai-skills -a claude-code

# Codex CLI only
npx skills add LinklyAI/linkly-ai-skills -a codex

# Global install (available across all projects)
npx skills add LinklyAI/linkly-ai-skills -g

Claude Code (manual)

Copy the skill to your personal skills directory:

git clone https://github.com/LinklyAI/linkly-ai-skills.git ~/.claude/skills/linkly-ai

Or for a specific project:

git clone https://github.com/LinklyAI/linkly-ai-skills.git .claude/skills/linkly-ai

Codex CLI (OpenAI)

git clone https://github.com/LinklyAI/linkly-ai-skills.git ~/.agents/skills/linkly-ai

Claude.ai (web)

Download the latest release's .zip asset from the Releases page, then upload it in Claude.ai → Settings → Capabilities → Skills.

ClawHub (OpenClaw)

clawhub install linkly-ai

Other AI Agents

Any AI agent that supports the Agent Skills open standard can use this skill. Copy the SKILL.md file and the references/ directory to the appropriate skills location for your agent.

Skill Contents

├── SKILL.md                           # Core skill instructions
├── references/
│   ├── cli-reference.md               # CLI commands and options
│   ├── mcp-tools-reference.md         # MCP tool schemas and responses
│   ├── search-strategies.md           # Advanced query crafting patterns
│   └── troubleshooting.md             # Diagnosing and resolving issues
└── scripts/
    └── package.sh                     # Build the release .zip for upload

| File | Purpose | | ----------------------------------- | ------------------------------------------------------------------ | | SKILL.md | Main instructions: environment detection, workflow, best practices | | references/cli-reference.md | CLI commands, options, JSON output format | | references/mcp-tools-reference.md | MCP tool parameters, response schemas, supported document types | | references/search-strategies.md | Advanced query crafting, multi-round search, library scoping | | references/troubleshooting.md | Connection issues, version mismatches, and diagnostic steps |

Compatibility

This skill follows the Agent Skills open standard and works with:

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

License

[Apache-2.0](LICENSE)

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.