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Cortex MCP — Multi-Level Reasoning Server

NPM · @J0HANZ/CORTEX-MCP · SCANNED AUG 3

Multi-level reasoning MCP server with configurable depth levels

Available components

+26 this week 79 Trust /100
Trust breakdown (6 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 →

Supply Chain Security86
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to j0hanz/cortex-mcp). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 149 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability73
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 652 tokens (~93/item across 7 items; 1 tools + 6 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 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
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @j0hanz/cortex-mcp

# add to Claude Code
claude mcp add j0hanz-cortex-mcp -- npx -y @j0hanz/cortex-mcp
# add to Codex CLI
codex mcp add j0hanz-cortex-mcp -- npx -y @j0hanz/cortex-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "j0hanz-cortex-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@j0hanz/cortex-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add j0hanz-cortex-mcp --command npx --arg -y --arg @j0hanz/cortex-mcp
# ~/.hermes/config.yaml
mcp_servers:
  j0hanz-cortex-mcp:
    command: "npx"
    args: ["-y", "@j0hanz/cortex-mcp"]
// mcp.json
{
  "mcpServers": {
    "j0hanz-cortex-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@j0hanz/cortex-mcp"
      ]
    }
  }
}
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.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +73
    • Known CVEs: unverified → partial security
    • Install scripts: unverified → pass security
    • Provenance: unverified → pass security
    • Malware scan: unverified → pass security
    • The attested source repository moved: j0hanz/cortex-mcp security
    • Security disclosure: fail → unverified functional
    • Tool coverage: unverified → 100 functional
    • License: unverified → pass functional
    • Schema quality: unverified → fair functional
    • Schema quality: unverified → 100 functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Stability: unverified → 0.23 functional
    • Licence: MIT functional
  • 1 Aug 26 −21
    • Schema quality: 100 → unverified functional
    • Tool coverage: 100 → unverified functional
  • 31 Jul 26 −9
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −18
    • Malware scan: pass → unverified security
  • 27 Jul 26 53

    First indexed and scored.

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 3 Aug 2026 · Analysed npm/@j0hanz/[email protected]

Provenance verified

Ecosystem: npm · Outcome: verified

Reason: verified

Source repo:
j0hanz/cortex-mcp
Certificate issuer:
https://token.actions.githubusercontent.com
Certificate SAN:
https://github.com/j0hanz/cortex-mcp/.github/workflows/release.yml@refs/heads/master
Rekor log index:
1050266950
Predicate type:
https://slsa.dev/provenance/v1
Subject digest:
sha512:087272ca3fd8f0b7b9e8d011fc326d8a8bf070b156c981def0642287b98bdfdcde89e94bb69c97ca62013b7ea5e93e6ee5b5ff2edda8ea17019254573
Discovery method:
attestation_endpoint
Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 1 exposed · ~496 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.

Tool Tokens
reasoning_think ~496

Structured multi-step reasoning tool. Decomposes analysis into sequential thought steps stored in a persistent session trace. USAGE PATTERN: 1. Start: { query: "...", level: "basic"|"normal"|"high"|"expert", thought: "your analysis..." } 2. Continue: { sessionId: "<from response>", thought: "next step..." } — level is optional; session level is used 3. Repeat until status: "completed" — the summary field contains the exact next call to make IMPORTANT: Pass the returned sessionId on every continuation call. The thought parameter stores YOUR reasoning verbatim — write thorough analysis in each step. Use stepSummary for a 1-sentence conclusion per step — these accumulate in the summary field for navigation. Levels: basic (1–3 steps, 2K budget), normal (4–8 steps, 8K budget), high (10–15 steps, 32K budget), expert (20–25 steps, 128K budget). Alternatives: runMode="run_to_completion" (batch, basic level only), or observation/hypothesis/evaluation fields (structured). Errors: E_SESSION_NOT_FOUND (expired — start new), E_INVALID_THOUGHT_COUNT (check level ranges).

NameTypeReqDescription
evaluationstringCritique of hypothesis.
hypothesisstringProposed next idea.
isConclusionbooleanEnd session early at final answer.
levelstringDepth level. Required for new sessions. basic (1–3 steps, 2K budget), normal (4–8 steps, 8K budget), high (10–15 steps, 32K budget), expert (20–25 steps, 128K budget).
observationstringKnown facts at this step.
querystringQuestion or problem to analyze.
rollbackToStepinteger0-based index to rollback to. Discards later thoughts.
runModestring"step" (default) or "run_to_completion" (basic level only).
sessionIdstringSession ID to continue.
stepSummarystringOne-sentence step summary.
targetThoughtsintegerExact step count. Must fit level range.
thoughtReasoning text. Stored verbatim. String for step mode, string[] for batch.
NameTypeReqDescription
errorobject
okbooleanyes
resultobject

No examples provided.