All servers · Research & knowledge · Documents & retrieval · Datasets & public data

io.github.NellInc/psychopathia-mcp

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

Measured by MCP Station

Description written by the publisher, not verified

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

Connect

claude mcp add --transport http psychopathia-mcp https://mcp.psychopathia.ai/mcp

{
  "mcpServers": {
    "psychopathia-mcp": {
      "url": "https://mcp.psychopathia.ai/mcp"
    }
  }
}

Tools as reported by the server

• 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

Repository · JSON · Text for agents · Registry updated 2026-09-04