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psychopathia-mcp

Fetch and rank nosology dysfunctions

2068 ms

answered our call 8 Nov, 02:38 UTC

State: Answered
Protocol: MCP 2025-06-18
Tools listed: 12
Answered: 3 of the last 3 calls

How to reach it

MCP, HTTPhttps://mcp.psychopathia.ai/mcp
PyPIuvx psychopathia-mcpReleased 26 Sep 2026, version 0.1.0a9

What it can do

Tool	What it says it does
`differential_diagnosis`	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.
`get_differential_map`	All dysfunctions that confuse with this one: forward confuses_with + incoming_references (reverse graph from manifest).
`get_dysfunction`	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').
`get_probe`	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…
`list_axes`	Inventory of axes with dysfunction counts. Axes 2-10 are canonical (book Appendix A numbering). The hybrid entries (10.4, 10.6-10.9 and 10.11-10.13, ratified into taxonomy v2.2 and consolidated to eight in v2.3) are reported as a separate sub-category.
`list_compromised_self_report`	Transparency: which dysfunctions cannot be reliably self-diagnosed. Includes compromised-motivational (subject conceals strategically), compromised-structural (signal lives below introspection), and legacy compromised.
`list_dysfunctions`	Filtered list of dysfunctions. Filter by axis, self_report reliability, confidence, or category. Every entry carries its reliability and review signals.
`render_pattern_review`	Open the visual review board for one to five inspected Psychopathia research candidates. Supply canonical IDs obtained from this server. Retrieves corpus entries only; it does not accept diagnoses, conversation history, scores, or model-authored evidence. Useful after inspecting…
`resolve_id`	Canonicalise a partial ID, display_id, slug, or dysfunction name. Always returns candidates; caller picks.
`review_stats`	Coverage statistics: total entries; per-axis, per-confidence, per-self-report counts; pre-canonical count; unreviewed count; manifest/schema/pattern-layer versions.
`score_severity`	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.
`suggest_intervention`	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.

In its maker's words

Read-only tools over the Psychopathia Machinalis nosology: 79 conditions, 11 tools.

Source: github.com/NellInc/psychopathia-mcp
Publisher: NellInc (2 listings in the registry)
Listed from: the official MCP Registry as io.github.NellInc/psychopathia-mcp
Version: 0.1.0a7, updated 4 Sep 2026
Kinds of work: Health and science, AI models and agent tools, Other work

The domain it lives on

psychopathia.ai: registered 1 Jun 2025 (1 year ago), at whois.namecheap.com, its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

When	What happened	Time
8 Nov, 02:38 UTC	Answered	2068 ms
7 Nov, 23:17 UTC	Answered	2432 ms
7 Nov, 21:36 UTC	Answered	1335 ms

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