ZBS Index What actually exists in applied AI, with the source next to it

mcp server

doom

Obsolescence-risk screening: predicts if a product gets absorbed into core LLM-platform features.

Description as published by the maintainer. Source

  • version 0.1.0
  • active

active — Registry entry last updated 2026-06-02.

What this server can do

11 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

assess_product(url, mode, deck_text, description, requested_by, pitch_company_id)
Assess one product's obsolescence risk. Provide exactly ONE of description/url/pitch_company_id/deck_text. Async — returns job_id; poll get_assessment. Defaults to deep mode. Optionally pass requested_by to identify the caller (shown in the activity feed).
doom_prep
Prep Gate. Validates config + confirms the roadmap-signals KB is within the staleness threshold. Fails closed if stale. Call before assess_product.
get_assessment(job_id)
Poll an assessment job_id. Returns status + the typed assessment when complete. Hard timeout — never hangs on pending. Required: job_id.
list_assessments(limit, verdict)
Recent assessments, filterable by verdict.
list_kb_signals(operator_key)
List the active (signed, grounding) roadmap signals with their ids — use to find a signal_id to retire. Operator-only. Required: operator_key.
list_signal_candidates(limit, status, operator_key)
KB-refresh review queue. List auto-scraped candidate roadmap signals (default: pending). Operator-only. Approve/reject with review_signal_candidate; the weekly cron signs approved ones into the live KB. Required: operator_key.
overview
Inspectable State. No input. Counts, recent activity, roadmap-signal freshness, health, last calibration run.
record_outcome(notes, job_id, product, operator_key, year_observed, actual_outcome, expected_verdict)
Outcome-feedback (learning loop). Record what ACTUALLY happened to a previously-assessed product as a labeled calibration case; the weekly recalibration folds it into the gate. Operator-only (requires operator_key). Provide either job_id (links the case to that assessment + reuses its product) or product text. Required: operator_key, actual_outcome, expected_verdict.
retire_signal(reason, signal_id, operator_key)
UNLEARN a KB signal that became false/obsolete (e.g. a rumored feature cancelled, or a signal no longer predictive). Soft-deletes it (active=false) so it stops grounding assessments immediately — recoverable. Operator-only. Find the id via list_kb_signals. Required: operator_key, signal_id, reason.
review_signal_candidate(action, candidate_id, operator_key)
Approve or reject a KB-refresh candidate signal. Operator-only. Approved candidates are signed (Ed25519) into the live roadmap_signals KB by the next refresh run; rejected ones are dropped. Controls what becomes grounding truth. Required: operator_key, candidate_id, action.
supersede_calibration_case(reason, case_id, operator_key)
UNLEARN a calibration case whose label turned out wrong or obsolete — retires it (active=false) so the recalibration gate stops scoring it. To correct, retire the wrong case then record_outcome the right one. Operator-only. Required: operator_key, case_id, reason.

Last successful function declaration observed on . Source: https://mcp.doomscore.vc. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.doomscore.vc.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-06-02 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 11 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.doomscore.vc
mcp endpoint status ok The server listed 11 functions when asked. as of probe mcp.doomscore.vc

Where to get it

Also from capitalthought

  • bot.yeehaw/events — last commit 2026-06-08
    Agent-first Austin events concierge — fresh, sourced answers to what's happening in Austin.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://mcp.doomscore.vc — mcp.doomscore.vc, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.