About Knowledge Layer
Knowledge Layer is an MCP server published by mihaelamaciuca in the RAG category: knowledge layer for AI-native teams.
The repository has 2 stars and 0 forks, with the last commit 4 months ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
From source
git clone https://github.com/mihaelamaciuca/knowledge-layerThis 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.
Tools (7)
check_index_health"Is the index in good shape?" Per-file chunk counts and staleness flags.
Parameters not published.
get_decision"What is our settled position on X?" Looks up a decision by id, key, or fuzzy text and returns it with a `[CURRENT]`, `[SUPERSEDED]`, or `[DRAFT]` banner. The banner is load-bearing: it tells the caller whether the answer it's about to act on is still in force.
Parameters not published.
get_doc_neighborhood"What does this document touch, and what touches it?" Declared outgoing edges (`depends-on`, `feeds-into`, `also-touches`), inverse incoming edges, the supersession chain, and warnings for dangling references.
Parameters not published.
get_doc_outline"Give me the section tree of this long document so I can navigate it without grepping the body." Headers at levels 1 through 3 with anchors and character ranges so a caller can fetch a specific section by slice rather than re-reading the whole file.
Parameters not published.
get_drift_report"What in our knowledge has gone stale?" A prioritised queue of flagged items across four signals: retired strings, dangling references, dependency targets edited more recently than the depending document, and chunks whose prose contradicts a current decision.
Parameters not published.
get_impact_targets"If I change X, what else has to change?" Given a decision or a document, returns the affected neighborhood from the dependency graph: every document that declares a dependency on it, its own declared edges, and the supersession chain.
Parameters not published.
search_docs"Find me everything in our knowledge about X." Hybrid vector + lexical search across the corpus with filters on `status`, `area`, and `doc_type`. Superseded documents are excluded by default. When explicitly included they return with a `[SUPERSEDED, see <target>]` banner so the caller doesn't silently act on a retired claim.
Parameters not published.
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