Connect-MCP

io.github.NellInc/psychopathia-mcp

io.github.NellInc/psychopathia-mcp · v0.1.0a7

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

MCPremotelocal · pypino credentialsResearch & education

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 12 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 93/100

What it does: 12 tools · 12 read, 0 write · Research & education

Test call list_axes: worked (974 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.psychopathia.ai/mcp
Package
registry:   pypi
identifier: psychopathia-mcp
version:    0.1.0a7
transport:  stdio

Tools

12 tools listed at last check
  • 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_dysfunctions Filtered list of dysfunctions. Filter by axis, self_report reliability, confidence, or category. Every entry carries its reliability and review signals.
  • 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').
  • 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_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 compromised-self-report
  • 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.
  • get_differential_map All dysfunctions that confuse with this one: forward confuses_with + incoming_references (reverse graph from manifest).
  • 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.
  • 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.
  • 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 differential_diagnos

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