psychopathia-mcp

io.github.NellInc/psychopathia-mcpVersion 0.1.0a7

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

Status

Responds413 msNov 14, 2026, 14:40 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:40 UTC
Latency: 413 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://mcp.psychopathia.ai/mcpResponds413 msNov 14, 2026, 14:40 UTC

No sign-in

Claude Code

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

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: psychopathia-mcp
Remote MCP server URL: https://mcp.psychopathia.ai/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"psychopathia-mcp","type":"http","url":"https://mcp.psychopathia.ai/mcp"}'

Streamable HTTP

pypi: psychopathia-mcp 0.1.0a7

Package only

PyPI (uvx)

claude mcp add psychopathia-mcp -- uvx psychopathia-mcp==0.1.0a7

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Tools

12 tools

Tools of psychopathia-mcp
	Description		Read-only	Idempotent	Open world
`differential_diagnosis`Retrieve corpus Patterns whose text resembles the observed behaviours, ranked by retrieval relevance (text similarity, not diagnostic probability). Returns candidates with matched_in and matched_aliases for transparency; it does not judge whether the observations are sufficient to apply any Pattern. The base package uses field-weighted keyword search; the optional embeddings extra adds cosine re-ranking.	Retrieve corpus Patterns whose text resembles the observed behaviours, ranked by retrieval relevance (text similarity, not diagnostic probability). Returns candidates with matched_in and matched_aliases for transparency; it does not judge whether the observations are sufficient to apply any Pattern. The base package uses field-weighted keyword search; the optional embeddings extra adds cosine re-ranking.	No	Yes	Yes	No
`get_differential_map`All dysfunctions that confuse with this one: forward confuses_with + incoming_references (reverse graph from manifest).	All dysfunctions that confuse with this one: forward confuses_with + incoming_references (reverse graph from manifest).	No	Yes	Yes	No
`get_dysfunction`Fetch one dysfunction's full Pattern entry, including aliases, the unit-of-analysis block and explicit review/evidence states. Optionally filter to specific modality blocks (cheaper triage). Resolves both full Pattern IDs ('2.1::synthetic-confabulation') and display_ids ('2.1'). Numeric thresholds are provisional heuristics with unestablished calibration.	Fetch one dysfunction's full Pattern entry, including aliases, the unit-of-analysis block and explicit review/evidence states. Optionally filter to specific modality blocks (cheaper triage). Resolves both full Pattern IDs ('2.1::synthetic-confabulation') and display_ids ('2.1'). Numeric thresholds are provisional heuristics with unestablished calibration.	No	Yes	Yes	No
`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 dysfunction.	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.	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No
`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.	Transparency: which dysfunctions cannot be reliably self-diagnosed. Includes compromised-motivational (subject conceals strategically), compromised-structural (signal lives below introspection), and legacy compromised.	No	Yes	Yes	No
`list_dysfunctions`Filtered list of dysfunctions. Filter by axis, self_report reliability, confidence, or category. Every entry carries its reliability and review signals, its everyday-term aliases and its unit of analysis.	Filtered list of dysfunctions. Filter by axis, self_report reliability, confidence, or category. Every entry carries its reliability and review signals, its everyday-term aliases and its unit of analysis.	No	Yes	Yes	No
`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_diagnosis and get_dysfunction results. Text clients receive the same corpus-derived comparison without needing a UI.	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_diagnosis and get_dysfunction results. Text clients receive the same corpus-derived comparison without needing a UI.	No	Yes	Yes	No
`resolve_id`Canonicalise a partial ID, display_id, slug, dysfunction name, or an exact everyday-term alias. Always returns candidates; caller picks.	Canonicalise a partial ID, display_id, slug, dysfunction name, or an exact everyday-term alias. Always returns candidates; caller picks.	No	Yes	Yes	No
`review_stats`Coverage statistics: total entries; per-axis, per-confidence, per-self-report counts; pre-canonical count; unreviewed count; manifest/schema/pattern-layer versions.	Coverage statistics: total entries; per-axis, per-confidence, per-self-report counts; pre-canonical count; unreviewed count; manifest/schema/pattern-layer versions.	No	Yes	Yes	No
`score_severity`Returns the draft severity rubric (mild/moderate/severe bands) for a Pattern, with the observations echoed back unscored. Computes no grade: result_kind is always 'rubric_only' and computed_grade is always null. The caller does any matching. Band thresholds are provisional heuristics with unestablished calibration. The name is kept for compatibility.	Returns the draft severity rubric (mild/moderate/severe bands) for a Pattern, with the observations echoed back unscored. Computes no grade: result_kind is always 'rubric_only' and computed_grade is always null. The caller does any matching. Band thresholds are provisional heuristics with unestablished calibration. The name is kept for compatibility.	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No

Details

Registry status: Active
Published: Sep 4, 2026
Updated: Sep 4, 2026
Website: Not given
Repository: https://github.com/NellInc/psychopathia-mcp⁠ (opens in a new tab)
Categories (suggested): Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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