Psychopathia MCP Server

io.github.NellInc/psychopathia-mcp

answering

Psychopathia MCP is answering right now. Last checked 8 min ago. 86 installs a week from pypi. It exposes 11 tools. Last commit 3 Jul 2026.

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

Installs per day peak 48 · avg 19 · -10% w/w

a month agotoday

Uptime history 41 hours of history

41 hours agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

1042 ms

Response time

average over 24h

Installs / week

npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.psychopathia-mcp]
url = "https://mcp.psychopathia.ai/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

differential

differential_diagnosis

Rank candidate dysfunctions matching the observed behaviours. Returns scored candidates with matched_in (which field matched) for transparency. Field-weighted keyword search (v0.1); embedding re-rank pending v0.2.

get_differential_map

All dysfunctions that confuse with this one: forward confuses_with + incoming_references (reverse graph from manifest).

axes

list_axes

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.

compromised

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.

dysfunction

get_dysfunction

Fetch one dysfunction's full Pattern entry. Optionally filter to specific modality blocks (cheaper triage). Resolves both full Pattern IDs ('1.1::synthetic-confabulation') and display_ids ('1.1').

dysfunctions

list_dysfunctions

Filtered list of dysfunctions. Filter by axis, self_report reliability, or confidence. Every entry carries its reliability and review signals.

probe

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.

resolve

resolve_id

Canonicalise a partial ID, display_id, slug, or dysfunction name. Always returns candidates; caller picks.

review

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

score_severity

Return the severity rubric for a dysfunction applied to observations. v0.1 returns the rubric for caller-side matching; v0.2 will perform structured matching against numeric thresholds.

suggest

suggest_intervention

Return tiered (first_line / second_line) interventions for a dysfunction, plus contraindications. first_line = published evidence; second_line = plausible but under-validated. Weight by the evidence_strength field on each entry.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.psychopathia.ai/mcp	streamable-http	answering	1177 ms	8 min ago

Psychopathia MCP — questions

Answers built from our own checks of this server.

What can Psychopathia MCP do?

It exposes 11 tools, read directly from the server on our last check. Among them: differential_diagnosis, get_differential_map, get_dysfunction, get_probe, list_axes, list_compromised_self_report and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Psychopathia MCP working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1042 ms. The bar chart above shows every period we have measured.

How do I connect Psychopathia MCP?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Psychopathia MCP need an API key?

No. Psychopathia MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Psychopathia MCP?

It answers our handshake in 1042 ms on average, which is faster than 4% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use Psychopathia MCP?

The pypi package psychopathia-mcp was installed 86 times in the last week. Week over week that is -10%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Psychopathia MCP open source?

Yes — it is published under the NOASSERTION licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.