com.kogcat/kogcat-mcp
PYPI · KOGCAT-MCP · SCANNED SEP 16
Local-first judgment layer: counter-examples & blind spots from your own knowledge base.
Available components
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 Security100
- No malware found by supply-chain analysis.Pass
- 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
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (FSL-1.1-MIT) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 95 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- 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 Management80
- Stability observed for 24 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
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "memory_delete" implies "delete" 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 9 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
How do I install the com.kogcat/kogcat-mcp server?
com.kogcat/kogcat-mcp runs locally as a PyPI package, launched with uvx kogcat-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · kogcat-mcp
claude mcp add com-kogcat-kogcat-mcp -- uvx kogcat-mcp
{
"mcpServers": {
"com-kogcat-kogcat-mcp": {
"command": "uvx",
"args": [
"kogcat-mcp"
]
}
}
} {
"servers": {
"com-kogcat-kogcat-mcp": {
"command": "uvx",
"args": [
"kogcat-mcp"
]
}
}
} codex mcp add com-kogcat-kogcat-mcp -- uvx kogcat-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-kogcat-kogcat-mcp": {
"type": "local",
"command": [
"uvx",
"kogcat-mcp"
],
"enabled": true
}
}
} openclaw mcp add com-kogcat-kogcat-mcp --command uvx --arg kogcat-mcp
mcp_servers:
com-kogcat-kogcat-mcp:
command: "uvx"
args: ["kogcat-mcp"] {
"McpServers": {
"com-kogcat-kogcat-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"kogcat-mcp"
]
}
}
} assistant mcp add com-kogcat-kogcat-mcp -t stdio -c uvx -a kogcat-mcp
{
"mcpServers": {
"com-kogcat-kogcat-mcp": {
"command": "uvx",
"args": [
"kogcat-mcp"
]
}
}
} 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.
- 16 Sept 26 −2
- Stability: pass → 0.80 functional
- 15 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 11 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 9 Sept 26 −2
- Stability: pass → 0.80 functional
- 8 Sept 26 0
- Stability: 0.97 → pass security
- 7 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 16 Sept 2026 · Analysed pypi/kogcat-mcp@0.46.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| 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 →
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.
| Name | Type | Req | Description |
|---|---|---|---|
| client_id | string | – | – |
| source_kind | string | – | Caller namespace (e.g. 'cc.parallel_query'). |
| text | string | yes | LLM answer to calibrate against KB |
| top_k | integer | – | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| client_id | string | – | – |
| question | string | – | The focused user question (relevance frame for the anchor gate). |
| seeds | array | – | Extra retrieval seeds: sub-queries / cross-language variants of the question. |
| source_kind | string | – | Caller namespace (e.g. 'cc.parallel_query'). |
| text | string | yes | LLM draft to review against KB |
| top_k | integer | – | – |
No output schema declared.
No examples provided.
edges ~48
Graph traversal from a node. hops=1 or 2.
| Name | Type | Req | Description |
|---|---|---|---|
| hops | integer | – | – |
| scope | string | – | 'mine' | '@owner/name' |
| title | string | yes | – |
No output schema declared.
No examples provided.
memory_delete ~21
Remove a memory by name.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | – |
No output schema declared.
No examples provided.
memory_get ~27
Fetch a single memory by name (frontmatter + body).
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| body | string | – | Markdown body (≤4KB utf-8). |
| description | string | yes | ≤200 chars; what this memory is about |
| name | string | yes | lowercase ascii identifier, [a-z][a-z0-9_]{0,79} |
| source | string | – | – |
| type | string | yes | – |
No output schema declared.
No examples provided.
node ~61
Fetch full node (concept/source/synthesis) by title or stable_id, including edges.
| Name | Type | Req | Description |
|---|---|---|---|
| scope | string | – | 'mine' | '@owner/name' |
| stable_id | string | – | UUID v4 — alternative to title |
| title | string | – | – |
No output schema declared.
No examples provided.
search ~110
Similarity search over KB concepts. Returns hits with source_pack/stable_id.
| Name | Type | Req | Description |
|---|---|---|---|
| include_details | boolean | – | Attach full node payload to each hit under `details`. |
| no_log | boolean | – | – |
| origin | string | – | – |
| scope | string | – | 'mine' | '@owner/name' | 'all' (default) |
| text | string | yes | search query |
| top | integer | – | – |
| vertical | string | – | R|W|M|all (default all) |
No output schema declared.
No examples provided.
What is the com.kogcat/kogcat-mcp server?
com.kogcat/kogcat-mcp is listed in the public MCP registry as com.kogcat/kogcat-mcp. Local-first judgment layer: counter-examples & blind spots from your own knowledge base. This page covers its PyPI package (kogcat-mcp).
Is the com.kogcat/kogcat-mcp server safe to use?
com.kogcat/kogcat-mcp scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 16 September 2026. 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 com.kogcat/kogcat-mcp server expose?
com.kogcat/kogcat-mcp exposes 9 tools: search, node, edges, calibrate, calibrate_review, and 4 more. Their descriptions and schemas cost roughly 772 tokens of context every time the server is loaded.
Is the com.kogcat/kogcat-mcp server still maintained?
com.kogcat/kogcat-mcp is still listed as active in the MCP registry. We last reached this channel on 16 September 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 com.kogcat/kogcat-mcp server under?
com.kogcat/kogcat-mcp declares the FSL-1.1-MIT licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.