1. Conduid
  2. RAG
  3. Context Graph
MCP server · RAG

Context Graph

Decision-aware knowledge graph on LightRAG: extends (head, relation, tail) triples into contextual quadruples (h, r, t, rc) that capture decision lineage — who approved what, why, via which channel, under which policy. Adds CGR3 multi-hop reasoning, a business-rules governance gate, typed ontology, MCP server, and real-time decision capture.

34Low

Scored 2 hours ago · breakdown

About Context Graph

Context Graph is an MCP server published by dsivov in the RAG category: decision-aware knowledge graph on LightRAG: extends (head, relation, tail) triples into contextual quadruples (h, r, t, rc) that capture decision lineage — who approved what, why, via which channel, under which policy. Adds CGR3 multi-hop reasoning, a business-rules governance gate, typed ontology, MCP server, and real-time decision capture.

The repository has 2 stars and 0 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/dsivov/Context_Graph

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 Context Graph

How do I install Context Graph?

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

Is Context Graph safe to use with an AI agent?

Its trust score is 34 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 Context Graph still maintained?

Yes — the last commit was a month ago. The repository has 2 stars and 0 forks.