io.github.kakunin-ai/kakunin
NPM · @KAKUNIN/MCP
X.509 identity, risk scoring, and audit logging for AI agents. MiCA + EU AI Act compliant.
Available components
Last scanned (2 hours ago)
Scores higher than 99% of npm servers
Category Security
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 Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to kakunin-ai/kakunin-mcp). View diagnostics → Pass
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 118 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability80
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 415 tokens (~138/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 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
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.
- 5 Nov 26 +1
- Stability: 0.97 → pass security
- 3 Nov 26 −1
- Stability: pass → 0.93 functional
- 28 Oct 26 +1
- Stability: 0.97 → pass security
- 26 Oct 26 −1
- Stability: pass → 0.93 functional
- 17 Oct 26 +2
- Stability: 0.87 → pass security
- 16 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Oct 26 −3
- Stability: pass → 0.83 functional
- 14 Oct 26 +1
- Stability: 0.97 → pass security
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 5 Nov 2026 · Analysed npm/@kakunin/mcp@0.2.4
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | kakunin-ai/kakunin-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/kakunin-ai/kakunin-mcp/.github/workflows/publish.yml@refs/tags/v0.2.4 |
| Rekor log index | 2123792997 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:c01ff8cf3de6a67da196fd0a3b0b8c6d8fd048a63fbe83bccda11df28adec289e1570e9096fe115b62dd2d616d10780eeffc2e6f65806cb0db8266910 |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
audit_log_append ~184
Append a behavioral event to this agent's immutable audit log. Use this to voluntarily record actions — transactions, data operations, API calls. Returns the risk score for the event and a transaction ID for traceability. High-risk events (score >= 0.85) automatically trigger a certificate revocation check.
| Name | Type | Req | Description |
|---|---|---|---|
| event_type | string | yes | Type of behavioral event being logged. Use "transaction_initiated" for financial operations, "data_mutation" for write/delete ops, "api_call" for standard API calls. |
| metadata | object | yes | Arbitrary key-value pairs describing the event. For transactions: include amount, currency, venue. For data ops: include resource_type, resource_id, operation. Avoid PII — this is stored in the immut… |
| session_id | string | – | Optional session ID for grouping related events in the audit trail. |
No output schema declared.
No examples provided.
check_risk_score ~56
Retrieve this agent's rolling 30-day risk score, risk band (low/medium/high), and drift trend. Returns actionable guidance — use this to decide whether to self-throttle, escalate to a human, or proceed normally.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
verify_agent_scope ~175
Check whether this agent is authorised to perform a specific action or call a specific endpoint. Verifies the active X.509 certificate, permitted_actions scope, financial limits, and revocation status. Call this BEFORE executing any action that might exceed scope — not after.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | yes | The action or endpoint the agent wants to perform. Can be a scope string (e.g. "write:invoices"), an API path (e.g. "/api/v1/execute_trade"), or a plain description (e.g. "initiate EUR/USD trade on e… |
| amount_usd | number | – | Optional transaction amount in USD for financial scope enforcement. |
| venue | string | – | Optional trading venue or system being accessed (e.g. "euronext", "xetra"). |
No output schema declared.
No examples provided.
How do I install the io.github.kakunin-ai/kakunin MCP server?
io.github.kakunin-ai/kakunin runs locally as an npm package, launched with npx -y @kakunin/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @kakunin/mcp
claude mcp add kakunin-ai-kakunin -- npx -y @kakunin/mcp
What is the io.github.kakunin-ai/kakunin MCP server?
io.github.kakunin-ai/kakunin is an MCP server listed in the public MCP registry as io.github.kakunin-ai/kakunin. X.509 identity, risk scoring, and audit logging for AI agents. MiCA + EU AI Act compliant. This page covers its npm package (@kakunin/mcp).
Is the io.github.kakunin-ai/kakunin MCP server safe to use?
io.github.kakunin-ai/kakunin scores 96 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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.kakunin-ai/kakunin MCP server expose?
io.github.kakunin-ai/kakunin exposes 3 tools: verify_agent_scope, check_risk_score, audit_log_append. Their descriptions and schemas cost roughly 415 tokens of context every time the server is loaded.
Is the io.github.kakunin-ai/kakunin MCP server still maintained?
io.github.kakunin-ai/kakunin is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.kakunin-ai/kakunin MCP server under?
io.github.kakunin-ai/kakunin declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.