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com.kogcat/kogcat-mcp

PYPI · KOGCAT-MCP · SCANNED AUG 3

Local-first judgment layer: counter-examples & blind spots from your own knowledge base.

Available components

−20 this week 51 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 Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency32
Schema Quality & AI Usability60
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 772 tokens (~85/item across 9 items; 9 tools + 0 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 Coverage84
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 53% of tool parameters carry a description.Partial
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.

pypi · kogcat-mcp

# add to Claude Code
claude mcp add com-kogcat-kogcat-mcp -- uvx kogcat-mcp
# add to Codex CLI
codex mcp add com-kogcat-kogcat-mcp -- uvx kogcat-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-kogcat-kogcat-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "kogcat-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add com-kogcat-kogcat-mcp --command uvx --arg kogcat-mcp
# ~/.hermes/config.yaml
mcp_servers:
  com-kogcat-kogcat-mcp:
    command: "uvx"
    args: ["kogcat-mcp"]
// mcp.json
{
  "mcpServers": {
    "com-kogcat-kogcat-mcp": {
      "command": "uvx",
      "args": [
        "kogcat-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 +3
    • Stability: unverified → 0.23 functional
  • 31 Jul 26 −24
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 71

    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 pypi/[email protected]

Provenance none

Ecosystem: pypi · Outcome: none

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta
Dependencies 0 packages

0 packages in the resolved dependency tree.

MCP tools — 9 exposed · ~772 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
calibrate ~110

KB calibration of an LLM draft. Returns {directive, debug?} where directive carries should_emit / placement / phrasing / inline_refs / user_facing_note / extras. Client renders directive verbatim — no internal stance/signal fields exposed. Read-only.

NameTypeReqDescription
client_idstring
source_kindstringCaller namespace (e.g. 'cc.parallel_query').
textstringyesLLM answer to calibrate against KB
top_kinteger

No output schema declared.

No examples provided.

calibrate_review ~220

KB recall review of an LLM draft. Returns {review: {summary, has_signal, warnings[], clusters[], reinforce[]}}: warnings = opposition/invalidation signals (anchor + kind + note); clusters = anchor concepts each with structured cross-domain/contrast bridges (near/predicate/far/claim/cross_domain/tier); reinforce = supporting fallback (only when warnings + clusters both empty). Pass `question` (the focused question) + `seeds` (sub-queries / cross-language variants you expand the question into) to widen recall. Use for judgment / prediction / comparison questions. Read-only.

NameTypeReqDescription
client_idstring
questionstringThe focused user question (relevance frame for the anchor gate).
seedsarrayExtra retrieval seeds: sub-queries / cross-language variants of the question.
source_kindstringCaller namespace (e.g. 'cc.parallel_query').
textstringyesLLM draft to review against KB
top_kinteger

No output schema declared.

No examples provided.

edges ~48

Graph traversal from a node. hops=1 or 2.

NameTypeReqDescription
hopsinteger
scopestring'mine' | '@owner/name'
titlestringyes

No output schema declared.

No examples provided.

memory_delete ~21

Remove a memory by name.

NameTypeReqDescription
namestringyes

No output schema declared.

No examples provided.

memory_get ~27

Fetch a single memory by name (frontmatter + body).

NameTypeReqDescription
namestringyes

No output schema declared.

No examples provided.

memory_list ~18

Return all memories' frontmatter (no body).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

memory_save ~157

Persist a user memory across sessions. Use source='user_explicit' when the user explicitly asks to remember; source='client_inferred' otherwise. type ∈ {user, feedback, project, reference}; type='lens' is the synthesized user-perspective profile (single canonical 'user_lens') — write it only via the memory-consolidate skill, never ad-hoc.

NameTypeReqDescription
bodystringMarkdown body (≤4KB utf-8).
descriptionstringyes≤200 chars; what this memory is about
namestringyeslowercase ascii identifier, [a-z][a-z0-9_]{0,79}
sourcestring
typestringyes

No output schema declared.

No examples provided.

node ~61

Fetch full node (concept/source/synthesis) by title or stable_id, including edges.

NameTypeReqDescription
scopestring'mine' | '@owner/name'
stable_idstringUUID v4 — alternative to title
titlestring

No output schema declared.

No examples provided.

search ~110

Similarity search over KB concepts. Returns hits with source_pack/stable_id.

NameTypeReqDescription
include_detailsbooleanAttach full node payload to each hit under `details`.
no_logboolean
originstring
scopestring'mine' | '@owner/name' | 'all' (default)
textstringyessearch query
topinteger
verticalstringR|W|M|all (default all)

No output schema declared.

No examples provided.