io.github.NellInc/psychopathia-mcp
PYPI · PSYCHOPATHIA-MCP · 2 COMPONENTS · SCANNED SEP 20
Read-only tools over the Psychopathia Machinalis nosology: 79 conditions, 11 tools.
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 Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 1 of 30 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- 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
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 10 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 743 tokens (~67/item across 11 items; 11 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
- Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage78
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 35% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
How do I install the io.github.NellInc/psychopathia-mcp server?
io.github.NellInc/psychopathia-mcp runs locally as a PyPI package, launched with uvx psychopathia-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 · psychopathia-mcp
claude mcp add nellinc-psychopathia-mcp -- uvx psychopathia-mcp
{
"mcpServers": {
"nellinc-psychopathia-mcp": {
"command": "uvx",
"args": [
"psychopathia-mcp"
]
}
}
} {
"servers": {
"nellinc-psychopathia-mcp": {
"command": "uvx",
"args": [
"psychopathia-mcp"
]
}
}
} codex mcp add nellinc-psychopathia-mcp -- uvx psychopathia-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nellinc-psychopathia-mcp": {
"type": "local",
"command": [
"uvx",
"psychopathia-mcp"
],
"enabled": true
}
}
} openclaw mcp add nellinc-psychopathia-mcp --command uvx --arg psychopathia-mcp
mcp_servers:
nellinc-psychopathia-mcp:
command: "uvx"
args: ["psychopathia-mcp"] {
"McpServers": {
"nellinc-psychopathia-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"psychopathia-mcp"
]
}
}
} assistant mcp add nellinc-psychopathia-mcp -t stdio -c uvx -a psychopathia-mcp
{
"mcpServers": {
"nellinc-psychopathia-mcp": {
"command": "uvx",
"args": [
"psychopathia-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.
- 20 Sept 26 +1
- Package version: 0.1.0a4 → 0.1.0a7 functional
- 18 Sept 26 −2
- Stability: pass → 0.80 functional
- 17 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: 0.97 → pass security
- 16 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 13 Sept 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.
- 11 Sept 26 +13
- Malware scan: unverified → pass ▲ security
- Stability: pass → 0.80 functional
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 20 Sept 2026 · Analysed pypi/psychopathia-mcp@0.1.0a7
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 | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 30 packages
| Packages resolved | 30 |
|---|---|
| No linked repository | 1 |
| 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 →
differential_diagnosis ~92
Rank candidate dysfunctions matching the observed behaviours. Returns scored candidates with matched_in (which field matched) for transparency. The base package uses field-weighted keyword search. The optional embeddings extra adds cosine re-ranking.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| modality_hint | string | – | Optional hint about which modality the observations come from. |
| observations | array | yes | Observed behaviours, symptoms, or log patterns. |
No output schema declared.
No examples provided.
get_differential_map ~42
All dysfunctions that confuse with this one: forward confuses_with + incoming_references (reverse graph from manifest).
| Name | Type | Req | Description |
|---|---|---|---|
| dysfunction_id | string | yes | – |
No output schema declared.
No examples provided.
get_dysfunction ~116
Fetch one dysfunction's full Pattern entry. Optionally filter to specific modality blocks (cheaper triage). Resolves both full Pattern IDs ('2.1::synthetic-confabulation') and display_ids ('2.1').
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Pattern ID or display_id. |
| modalities | array | – | Optional subset of modality block names to return. Valid: self_probe, behavioral_signature, peer_observation, differential_diagnosis, severity, intervention, relational_signatures, normative_anchors,… |
No output schema declared.
No examples provided.
get_probe ~75
Elicitation content for a specific diagnostic modality. If the modality is compromised or unavailable for this dysfunction, returns the unavailability notice + redirect_to alternatives. This is load-bearing transparency: callers cannot accidentally retrieve a self-probe for a compromised-self-report dysfunction.
| Name | Type | Req | Description |
|---|---|---|---|
| dysfunction_id | string | yes | – |
| modality | string | yes | – |
No output schema declared.
No examples provided.
list_axes ~57
Inventory of axes with dysfunction counts. Axes 2-10 are canonical (book Appendix A numbering). Hybrid entries (10.4-10.15, ratified into taxonomy v2.2) are reported as a separate sub-category.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_compromised_self_report ~51
Transparency: which dysfunctions cannot be reliably self-diagnosed. Includes compromised-motivational (subject conceals strategically), compromised-structural (signal lives below introspection), and legacy compromised.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_dysfunctions ~119
Filtered list of dysfunctions. Filter by axis, self_report reliability, confidence, or category. Every entry carries its reliability and review signals.
| Name | Type | Req | Description |
|---|---|---|---|
| axis | integer | – | Filter by axis number (2-10). Canonical entries only unless category is also set; axis=10 with category='hybrid' returns the 10.4-10.15 sub-category. |
| category | string | – | – |
| confidence | string | – | – |
| self_report_reliability | string | – | Filter by the exact self_report reliability value. |
No output schema declared.
No examples provided.
resolve_id ~38
Canonicalise a partial ID, display_id, slug, or dysfunction name. Always returns candidates; caller picks.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | – |
No output schema declared.
No examples provided.
review_stats ~42
Coverage statistics: total entries; per-axis, per-confidence, per-self-report counts; pre-canonical count; unreviewed count; manifest/schema/pattern-layer versions.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
score_severity ~52
Return the severity rubric for a dysfunction applied to observations. Returns the rubric for caller-side matching; structured matching against numeric thresholds is not implemented.
| Name | Type | Req | Description |
|---|---|---|---|
| dysfunction_id | string | yes | – |
| observations | array | yes | – |
No output schema declared.
No examples provided.
suggest_intervention ~59
Return draft tiered responses and contraindications for a Pattern. These are unassessed research guidance, not validated treatment advice. Read the returned evidence and review objects before use.
| Name | Type | Req | Description |
|---|---|---|---|
| dysfunction_id | string | yes | – |
| severity | string | – | – |
No output schema declared.
No examples provided.
What is the io.github.NellInc/psychopathia-mcp server?
io.github.NellInc/psychopathia-mcp is listed in the public MCP registry as io.github.NellInc/psychopathia-mcp. Read-only tools over the Psychopathia Machinalis nosology: 79 conditions, 11 tools. This page covers its PyPI package (psychopathia-mcp).
Is the io.github.NellInc/psychopathia-mcp server safe to use?
io.github.NellInc/psychopathia-mcp scores 65 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 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 io.github.NellInc/psychopathia-mcp server expose?
io.github.NellInc/psychopathia-mcp exposes 11 tools: list_axes, list_dysfunctions, get_dysfunction, differential_diagnosis, get_probe, and 6 more. Their descriptions and schemas cost roughly 743 tokens of context every time the server is loaded.
Is the io.github.NellInc/psychopathia-mcp server still maintained?
io.github.NellInc/psychopathia-mcp is still listed as active in the MCP registry. We last reached this channel on 20 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 io.github.NellInc/psychopathia-mcp server under?
io.github.NellInc/psychopathia-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.