"Odin" matching MCP tools:

• get_deity_lore

  Mythsensus

  Look up an encyclopedic profile of any of 1,044 deities across 9 mythologies — Hinduism, Greek, Chinese, Norse, Shinto, Egyptian, Roman, Thai mythology & Thai Buddhism (e.g. Ganesha, Zeus, Odin, Amaterasu, Anubis, Guan Yin, Phra Phrom). Returns origin tradition, the deity's rarity tier, and full lore in English + Thai. Use whenever a user asks "who is X?", "tell me about the god/goddess X", the myth or symbolism of a deity, or about a pantheon.

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• adw.adw_251

  AlpineDataWorks Intelligence Server

  Returns a 0-100 US power-grid outage stress score (log10 of total customers without power across counties, 10M out = 100; federal DOE EAGLE-I/ORNL ODIN feed, hourly) with outage_stress_score, total_customers_out, and counties_affected. Call when the user asks about power outages, blackouts, grid stress or reliability, storm/hurricane impact, or customers without electricity, or when timing outage alerts, field-crew pre-positioning, or storm-response decisions. Updates: hourly.

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• find_thinkers_like

  Rodin

  Given a passage of text (essay, note, message, snippet, transcript), returns ~5 humans whose intellectual fingerprint matches it — recurring themes, mental models, archetypal stance, blind spots. Use when the principal asks for sparring partners, intellectual peers, "who else is wrestling with this," "who thinks like X," or "find me writers similar to this passage." Each result returns a name, three-word archetype, one-line summary, dominant themes, and a profile URL the principal can visit. The match runs over Voyage 3.5-lite text embeddings reranked by a proprietary 12-dimensional cognitive-style vector — so results align by *how* a mind reasons, not just topical overlap.

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• explain_optimization

  SCModeling

  Reference text on supply-chain network optimization — mixed-integer programming (MIP), the structure of decision variables and constraints, the objective function for landed-cost minimization, and the common problem classes (facility selection, sourcing, flow constraints, multi-period, BOM/production, multi-objective). Also covers when to reach for optimization vs simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does network optimization work' question. ChiAha's AMOS optimizer (open-source, Odin, GLOP/CBC via OR-Tools) powers the Tariff and Coffee Co-pack demos on the sandbox.

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