1. Conduid
  2. RAG
  3. Codesage
MCP server · RAG

Codesage

Graph-Augmented Code Intelligence RAG engine pairing deterministic AST call graphs with dense vector search to boost direct-callee Recall@8 from 0.0% to 53.3% (+53.3 pp) under a 5.8ms p95 latency bound. Powered by a QLoRA fine-tuned Qwen2.5 adapter (70.02 CodeBLEU), quality verification harness, and production Model Context Protocol (MCP) server.

31Low

Scored 19 hours ago · breakdown

About Codesage

Codesage is an MCP server published by Gaurav711cgu in the RAG category: graph-Augmented Code Intelligence RAG engine pairing deterministic AST call graphs with dense vector search to boost direct-callee Recall@8 from 0.0% to 53.3% (+53.3 pp) under a 5.8ms p95 latency bound. Powered by a QLoRA fine-tuned Qwen2.5 adapter (70.02 CodeBLEU), quality verification harness, and production Model Context Protocol (MCP) server.

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Install

From source
git clone https://github.com/Gaurav711cgu/Codesage

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About Codesage

How do I install Codesage?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Codesage safe to use with an AI agent?

Its trust score is 31 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Codesage still maintained?

Yes — the last commit was 18 days ago. The repository has 0 stars and 0 forks.