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io.github.primeline-ai/kairn

MCPB · KAIRN-0.3.1.MCPB

Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.

Available components

+40 this week 53 Trust /100

Last scanned (3 hours ago)

Scores higher than 90% of MCPB servers

Category Memory and Knowledge

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security12
  • No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
  • Known CVEs were checked across the 19 of 19 dependencies we could resolve, so this covers what we could see, not the whole tree.Partial
  • Install-script risk not yet assessed.Unverified
  • 2 of 19 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability82
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1957 tokens (~78/item across 25 items; 22 tools + 3 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management63
  • Stability observed for 19 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "kn_remove" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 23 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 17 Oct 26 +40
    • Injection markers: unverified → pass ▲ security
    • Stability: unverified → 0.63 ▲ functional
    • Tool coverage: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Schema quality: unverified → 100 ▲ functional
    • Package version: 0.2.1 → 0.3.1 functional
  • 15 Oct 26 0
    • Stability: Stability not yet verified: this server's registry entry declares environment variables (an API key or similar), and its server did not start in our sandbox, so we have no schema to compare. security
    • Tool safety: Tool safety not yet verified: this server's registry entry declares environment variables (an API key or similar), and its server did not start in our sandbox, so we have no tool text to scan. security
    • Security disclosure: unverified → fail ▼ functional
    • Schema quality: Schema quality not yet verified: this server's registry entry declares environment variables (an API key or similar), and its server did not start in our sandbox, so we have no schema to assess. functional
    • Capabilities: Protocol version not yet verified: this server's registry entry declares environment variables (an API key or similar), and its server did not start in our sandbox, so we never saw its MCP handshake. functional
    • Tool coverage: Tool coverage not yet verified: this server's registry entry declares environment variables (an API key or similar), and its server did not start in our sandbox, so we have no tool definitions to assess. functional
  • 14 Oct 26 0
    • Security disclosure: fail → unverified ▼ functional
  • 12 Oct 26 0
    • Tool safety: Tool safety not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet. security
    • Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
    • Capabilities: Protocol version not yet verified: we do not have a sandbox capture of the MCP handshake this version of the package performs yet. functional
    • Tool coverage: Tool coverage not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet. functional
    • Schema quality: Schema quality not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. functional
    • Package version: 0.2.1 → 0.3.1 functional
  • 10 Oct 26 −31
    • Tool safety: pass → unverified ▼ security
    • Stability: Stability not yet verified: this server's registry entry declares environment variables (an API key or similar), and its server did not start in our sandbox, so we have no schema to compare. security
    • Tool coverage: 100 → unverified ▼ functional
    • Capabilities: pass → unverified ▼ functional
    • Schema quality: 100 → unverified ▼ functional
  • 28 Sept 26 +31
    • Injection markers: unverified → pass ▲ security
    • First check of Judged manipulation: pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Tool coverage: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Schema quality: unverified → 100 ▲ functional
    • First check of Schema quality: fail functional
    • First check of Destructive annotations: 0 functional
    • First check of Schema quality: pass functional
    • First check of Schema quality: good functional
    • First check of Tool coverage: 100 functional
    • First check of Tool coverage: 100 functional
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Sept 26 +4
    • Known CVEs: unverified → partial ▲ security
    • Security disclosure: unverified → fail ▼ functional
    • Dependency health: unverified → 0.98 ▲ functional
  • 26 Sept 26 −4
    • Known CVEs: partial → unverified ▼ security
    • Security disclosure: fail → unverified ▼ functional
    • Dependency health: 0.98 → unverified ▼ functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 17 Oct 2026 · Analysed mcpb/https://github.com/primeline-ai/kairn/releases/download/v0.3.1/kairn-0.3.1.mcpb@0.3.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem mcpb
Reason No attestation published

Background: How many MCP packages publish verified provenance →

Dependencies 19 packages
Packages resolved 19
Stale 2
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 22 exposed · ~1,921 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
kn_add ~69

Add node to knowledge graph. Auto-links via FTS5.

NameTypeReqDescription
description––Node description
namestringyesNode name
namespacestring–Namespace
tags––Tags for categorization
typestringyesNode type (concept, pattern, etc.)
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_connect ~80

Create typed, weighted edge between nodes.

NameTypeReqDescription
created_by––Who/what created this edge (for provenance)
edge_typestringyesRelationship type
source_idstringyesSource node ID
target_idstringyesTarget node ID
weightnumber–Edge weight 0.0-1.0
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_context ~49

Keywords to relevant subgraph with progressive disclosure.

NameTypeReqDescription
detailstring–summary or full
keywordsstringyesKeywords to find relevant context for
limitinteger–Max results
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_crossref ~39

Find similar solutions from other workspaces.

NameTypeReqDescription
limitinteger–Max results
problemstringyesProblem description to find solutions for
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_doctor ~108

Read-only Kairn health diagnostics. Returns a structured envelope with per-check verdicts and a roll-up summary. Identical JSON shape to `kairn doctor --json` (envelope parity). Safe to call any time; checks never mutate workspace state.

NameTypeReqDescription
check––Run a single check by ID; omit to run all. Known: check_lock_mode, check_fts_index_health, check_promoted_experience_consistency, check_namespace_distribution, check_orphan_edges
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_idea ~87

Create or update idea with graph links.

NameTypeReqDescription
category––Category classification
idea_id––Idea ID (omit to create new)
link_to––Node ID to link this idea to
score––Numerical score
status––Status: draft|evaluating|approved|implementing|done|archived
titlestringyesIdea title
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_ideas ~52

List and filter ideas by status/score.

NameTypeReqDescription
category––Filter by category
limitinteger–Max results
offsetinteger–Pagination offset
status––Filter by status
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_judge ~174

Record a typed relationship judgment between two nodes. Strict-mode wrapper around kn_connect: only the 5 canonical relation verbs (conflicts_with, supersedes, compatible, scoped, related) are accepted. Use after kn_learn returns a non-empty candidates[] list to assert how the new node relates to an existing one. For legacy or system-generated edges, use kn_connect (lax mode).

NameTypeReqDescription
confidencenumber–Confidence 0.0-1.0; persisted as edge.weight
reason––Optional rationale stored in edge.properties.reason
relationstringyesOne of the 5 canonical verbs: conflicts_with, supersedes, compatible, scoped, related
source_idstringyesSource node ID
target_idstringyesTarget node ID
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_learn ~170

Store knowledge from conversation. Creates node (high) or experience (medium/low).

NameTypeReqDescription
confidencestring–high=permanent, medium=likely, low=exploratory
contentstringyesWhat was learned/decided/discovered
context––Situation when this was learned
namespacestring–Namespace for multi-tenant isolation (default 'knowledge')
tags––Tags for categorization
typestringyesdecision|pattern|solution|workaround|gotcha|preference
with_candidatesboolean–Return up to 5 FTS5-matched related nodes in candidates[] so the caller can decide whether to invoke kn_judge for a relationship verb. Set False for bulk-save scripts that do not need the hook.
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_log ~65

Log progress or failure entry.

NameTypeReqDescription
actionstringyesWhat was done or what failed
next_step––Recommended next step
project_idstringyesProject ID
result––Outcome or error message
typestring–progress or failure
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_memories ~136

Experience search. Filters on time-decay, reports match-aware relevance.

NameTypeReqDescription
limitinteger–Max results
min_relevancenumber–Minimum RECENCY 0.0-1.0 (time-decay), not match quality. A high value returns only recent experiences, however poorly they match the query. It gates on age ALONE, while the reported `relevance` is ma…
offsetinteger–Pagination offset
text––Full-text search query
type––Filter by experience type
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_preference ~184

Capture a stated user preference at utterance time. The dedicated write path for preferences: stores a `preference`-type experience with the longest half-life of any type (durable by default). Call it the moment a preference is expressed - the host model hearing the preference is the extraction step; Kairn's server stays deterministic and never runs an LLM.

NameTypeReqDescription
contentstringyesThe user preference as ONE explicit, standalone sentence (e.g. 'User prefers Adobe Premiere Pro tutorials focused on advanced settings'). You, the calling model, are the extractor: state the preferen…
context––Situation in which the preference was stated
namespacestring–Namespace for multi-tenant isolation (default 'knowledge')
tags––Tags for categorization (subject of the preference)
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_project ~77

Create or update project (upsert).

NameTypeReqDescription
goals––Project goals
namestringyesProject name
phase––Phase: planning|active|paused|done
project_id––Project ID (omit to create new)
stakeholders––Stakeholders
success_metrics––Success metrics / KPIs
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_projects ~38

List projects and switch active.

NameTypeReqDescription
active_onlyboolean–Only show active projects
set_active––Project ID to set as active
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_promote_pending ~142

Promote experiences flagged by the auto-promote SQL trigger. The exp_auto_promote trigger sets needs_promotion=1 when an experience's access_count crosses 5 (via the read-path touch_accessed wiring from Phase 8). This tool consumes those flags and turns each flagged experience into a permanent graph node via the existing _promote() path. Idempotent: repeatedly safe to call; no-op when nothing is flagged. Returns stats including the list of newly created node ids.

NameTypeReqDescription
limitinteger–Maximum experiences to promote in this call. Bounds a single sweep so it cannot block on a large promotion backlog.
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_prune ~55

Remove expired experiences (archive first).

NameTypeReqDescription
thresholdnumber–DELETES experiences whose RECENCY (time-decay age) is below this. NOT match quality - raising it deletes older rows regardless of how good they are.
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_query ~82

Search nodes by text, type, tags, or namespace.

NameTypeReqDescription
detailstring–summary or full
limitinteger–Max results
namespace––Filter by namespace
node_type––Filter by type
offsetinteger–Pagination offset
tags––Filter by tags
text––Full-text search query
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_recall ~115

Surface relevant past knowledge for context.

NameTypeReqDescription
limitinteger–Max results
min_relevancenumber–Minimum score 0.0-1.0. THE SCALE DIFFERS BY ROW TYPE: it gates node rows on match strength (bm25, or embedding cosine when semantic recall is on) and experience rows on recency (time-decay). One numb…
topic––Topic to recall knowledge about
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_related ~47

Find nodes connected to a starting point.

NameTypeReqDescription
depthinteger–Traversal depth
edge_type––Filter by edge type
node_idstringyesStarting node ID
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_remove ~53

Soft-delete node or edge. Supports undo.

NameTypeReqDescription
edge_type––Edge type
node_id––Node ID to remove
source_id––Edge source ID
target_id––Edge target ID
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_save ~82

Save experience with configurable decay.

NameTypeReqDescription
confidencestring–high|medium|low — affects decay rate
contentstringyesWhat was learned/discovered
context––Situation when this was learned
tags––Tags for categorization
typestringyessolution|pattern|decision|workaround|gotcha|preference
NameTypeReqDescription
resultstringyes–

No examples provided.

kn_status ~17

Graph stats, health, and system overview.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes–

No examples provided.

Install

How do I install the io.github.primeline-ai/kairn MCP server?

io.github.primeline-ai/kairn ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 0cc65ad4919fcb110c645d56bebfb7d57da4dad8702a29e5b46a650f6c113aa2; the commands to do that are on this page. If it does not match, do not open it.

mcpb · kairn-0.3.1.mcpb

Download bundle

Check the download matches the SHA-256 the MCP registry declares before you open it. If it does not match, do not open the file.

SHA-256

0cc65ad4919fcb110c645d56bebfb7d57da4dad8702a29e5b46a650f6c113aa2

macOS / Linux

echo "0cc65ad4919fcb110c645d56bebfb7d57da4dad8702a29e5b46a650f6c113aa2  kairn-0.3.1.mcpb" | shasum -a 256 -c

Windows (PowerShell)

(Get-FileHash -Algorithm SHA256 .\kairn-0.3.1.mcpb).Hash -eq "0cc65ad4919fcb110c645d56bebfb7d57da4dad8702a29e5b46a650f6c113aa2"

Run it in the folder you saved the bundle to, then open the file with an MCPB-capable host such as Claude Desktop.

Common questions

What is the io.github.primeline-ai/kairn MCP server?

io.github.primeline-ai/kairn is an MCP server listed in the public MCP registry as io.github.primeline-ai/kairn. Local-first knowledge engine for AI agents: memory, graph, and recall over MCP. This page covers its MCPB bundle (https://github.com/primeline-ai/kairn/releases/download/v0.3.1/kairn-0.3.1.mcpb).

Is the io.github.primeline-ai/kairn MCP server safe to use?

io.github.primeline-ai/kairn scores 53 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.primeline-ai/kairn MCP server expose?

io.github.primeline-ai/kairn exposes 22 tools: kn_add, kn_connect, kn_judge, kn_query, kn_remove, and 17 more. Their descriptions and schemas cost roughly 1,921 tokens of context every time the server is loaded.

What licence is the io.github.primeline-ai/kairn MCP server under?

io.github.primeline-ai/kairn declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.