kairn (primeline-ai/kairn) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 22 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
7 days ago

kairn

Provides AI assistants with a persistent knowledge graph and experience memory, featuring context-aware routing, progressive disclosure, decay-based forgetting, and automatic promotion of important knowledge. It offers 22 MCP tools for storing, recalling, connecting, and querying knowledge, experiences, preferences, and ideas.

→ primeline-ai/kairn· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

primeline-ai

Source: Glama

Is this your MCP?

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Install from

Glama

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: KAIRN_JWT_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configKAIRN_WORKSPACE
🔐 secretKAIRN_JWT_SECRET
configKAIRN_LOG_LEVEL
configKAIRN_BITEMPORAL_DIVERSIFY
configKAIRN_DIVERSIFY_MODE
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

22/22 tools missing one or more hints — kn_add (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); kn_connect (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); kn_judge (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +19 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/primeline-ai/kairn)](https://m8ven.ai/mcp/primeline-ai/kairn)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: f3d2a51d49dc7f6786523b98d8f46a8b702a052a
code hash: 8585a10ddd683b4345507e02306d3a6e48c5ce6291c7711fd651cce373b33f93
verified: 9/2/2026, 5:22:11 PM
view raw JSON →
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