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mxLore

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Reduces context-switching and knowledge loss by maintaining a persistent, searchable codebase history that AI assistants can reference across sessions.

Self-hosted MCP server for AI coding assistants. Persistent knowledge base with 39 tools, 11 skills, institutional memory.

29 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Reduces context-switching and knowledge loss by maintaining a persistent, searchable codebase history that AI assistants can reference across sessions. Eliminates the need to re-explain architecture, past decisions, or project context for each interaction.

Engineering teams building internal tools or maintaining proprietary codebases who want AI assistants to understand project-specific patterns, past implementations, and institutional knowledge without external cloud dependency.

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https://github.com/MicrotronX/mxLore

By MicrotronX

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 MicrotronX/mxLore

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:

Help me auto-complete architectural decisions based on prior project patterns
CostFree

Trust Signals Auto-scanned

Stars29Contributors1Last updated2026-07-15Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 29 GitHub stars; 1 contributors; last commit 10d ago; license no license.

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.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

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
1/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.05 / 5.00 PoorEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; 1 contributors; last commit 10d ago; license no license.

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