What is Learning Adapter?

Learning Adapter is a infrastructure that Adaptive proxy that intelligently filters MCP tool responses by learning which data fields are most valuable, reducing token usage while providing on-demand access to hidden fields through smart maski. It has a Nerq Trust Score of 43/100 (E). 19 GitHub stars. Published by https://github.com/sivachow/mcp-learning-adapter. Last analyzed November 2026.

Why This Score

• ⚠️ Security: 0/100 — Some security concerns
• ⚠️ Maintenance: 0/100 — Maintenance activity is low
• ⚠️ Community: 19 stars, 0 downloads — Growing community
• ⚠️ Transparency: License: Not specified — No license specified

Trust & Safety Overview

What Learning Adapter Does

Learning Adapter is a mcp_server in the infrastructure category. Adaptive proxy that intelligently filters MCP tool responses by learning which data fields are most valuable, reducing token usage while providing on-demand access to hidden fields through smart masking and persistent optimization.. It is published by https://github.com/sivachow/mcp-learning-adapter and has no specified license. With 19 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Learning Adapter

Learning Adapter is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=learning-adapter

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

Frequently Asked Questions

Last updated November 2026. Trust scores based on automated analysis of public data.