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Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Eliminates context fragmentation across AI agents by centralizing account access, persistent memory, and custom skills.

Lanes Link is a private, self-hostable MCP that connects your accounts, memory and skills to every AI agent you use.

35 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates context fragmentation across AI agents by centralizing account access, persistent memory, and custom skills. Reduces manual context re-entry, improves agent coordination, and maintains security through self-hosted deployment.

Engineering teams running multiple AI agents internally who need unified state management and consistent tool access across agents.

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https://github.com/lanes-sh/link

By lanes-sh

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install lanes-sh/link

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Retrieve stored credentials and authenticate API calls without hardcoding secrets
CostFree

Trust Signals Auto-scanned

Stars35Contributors2Last updated2026-09-13LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-19 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

2 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 34 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 34 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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