Categories › AI & Agents › Thinking, planning & prompt tools
Query AI knowledge, essays, Labs, benchmarks, Physical AI robotics, Homeric data and claims.
Remote server: your requests and data go to santismm.com. Claude Code: claude mcp add --transport http santismm-knowledge-harness-engineering-a https://santismm.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
get_author_profile — Get the author's professional profile as structured facts: name and the other forms it takes, current role with its start date, previous orgget_overview — Get the complete MCP map — start here. Returns the five-domain core plus the separate Article, Labs, Homeric Atlas, claim-registry, AI-benchsearch_all — Search the core corpus, first-party essays, executable Labs, epistemic claims, the Homeric Atlas, the AI benchmarks (professions and benchmalist_knowledge — List all knowledge units (concepts on agentic & enterprise AI) with slug, category, title, summary and Evidence-First provenance. Use this tget_knowledge — Get one knowledge unit by slug. Returns the full entry, or a single-locale body if locale is given. Use this once `search` or `list_knowledglist_patterns — List all Enterprise AI patterns (reusable agentic design patterns) with slug, category, name, summary and provenance. Use this to browse theget_pattern — Get one Enterprise AI pattern by slug (includes problem, solution, KPIs, failure modes, lessons). Use this once `search` or `list_patterns` list_architectures — List all reference architectures (end-to-end enterprise agentic blueprints) with id, slug, category, name, summary and provenance. Use this get_architecture — Get one reference architecture by slug (includes the request flow, reference scenario, KPIs, cost & scaling, and the patterns/knowledge it clist_governance — List all AI governance units (regulations, standards, frameworks, playbooks — EU AI Act, ISO 42001, NIST AI RMF, agentic checklist) with id,get_governance — Get one AI governance unit by slug (includes scope, key requirements, implementable controls, a checklist and common pitfalls). Use this onclist_handbook — List the Harness Engineering Handbook chapters (HRN-001…): the canonical long-form corpus on harness engineering — definition, history, taxoget_handbook — Get one Harness Engineering Handbook chapter, by id (e.g. 'HRN-001') or slug. Returns the full Markdown body plus its provenance and relatedsearch — Ranked keyword search across the whole corpus (knowledge, patterns, architectures, governance and the handbook). Matches every language and list_articles — List every long-form essay published on articles.santismm.com, with language, dates, topics and citable canonical URLs. Use this to browse tget_article — Get one complete essay by slug, including its clean Markdown-like body, metadata, licence context and canonical URL. Use this after `list_arsearch_articles — Ranked, accent-insensitive full-text search over every first-party essay, including titles, summaries, topics and bodies. Use this when you list_professions — List the professions that have a ranking of frontier AI models built from independent benchmark results (lawyer, accountant, developer, salerecommend_model_for_profession — Get the ranking of frontier AI models for one profession: the best result, the runner-up, the best value and the best open-weights model, thcompare_models — Put two or more frontier models side by side on the benchmark results recorded for them (score, unit, source table and evidence grade per belist_benchmarks — List every benchmark in the AI Agent Benchmarks catalogue (agentic benchmarks with SOTA, saturation and headroom) and in the radar's complemget_benchmark — Get one benchmark by slug or name: what it measures, state of the art, saturation, headroom, human baseline, source and notes, the radar axilist_labs — List every SANTISMM Lab with its inputs, outputs, assumptions, formulas and citation URL. Use this to discover interactive and machine-readaget_lab — Get one Lab by slug, including formulas, assumptions, related SANTISMM content and its executable endpoint when one exists. Use this after lcalculate_agent_economics — Calculate monthly operating cost, cost per verified outcome, manual baseline, savings, ROI and break-even success rate from explicit assumptcalculate_evaluation_sample_size — Calculate two different samples: how many independent evaluations are needed to detect at least one failure, and how many are needed to esticalculate_human_supervision_capacity — Calculate review and escalation workload, required FTE, available headroom or backlog, monthly labour cost and sustainable case volume. Use search_physical_ai — Search the Physical AI dataset — real robot platforms (humanoids, quadrupeds, mobile manipulators, UGVs, drones), documented deployments witget_physical_ai_item — Read one record by type and slug: a platform sheet (specs with test conditions, provenance and sources, autonomy by task, evidence stage, accompare_physical_ai_platforms — Compare 2–5 platforms side by side on published fields only — payload, runtime, weight, speed, IP rating, temperature range, price, autonomycalculate_physical_ai_roi — Run the Physical AI calculator's own 36-month model: manual vs robotic TCO, annual savings, upfront investment, payback month, ROI, coverageassess_physical_ai_fit — Run the deployment guide's readiness assessment: score per area and overall, the band and its guidance, the weakest area, blockers (items anget_related — Traverse the knowledge graph: given a unit, return its neighbours — the units it links to (outgoing) and the units that reference it (incomilist_homeric_places — List every place in the Homeric Atlas with its identification class, its confidence score and how many competing identifications it carries.get_homeric_place — Get one place by slug: every identification proposed for it, each with its own coordinates, class, 0-12 rubric and sources, plus the attestelist_homeric_episodes — List every episode of the Iliad and the Odyssey held in the atlas, in reading order, with its passage, the places it involves and how firmlyget_homeric_episode — Get one episode by slug: the passage, the narrative, the competing theories about where it happened (each with its proponent and sources), tlist_homeric_routes — List the reconstructed itineraries (the nostos of Odysseus and the others), each with its rival reconstructions scored separately. Use this get_homeric_route — Get one route by slug: each reconstruction variant with its ordered stops, the hypothesis chosen at each stop, its confidence rubric and itslist_claims — List the load-bearing claims of the corpus, each tagged as observed_fact, industry_synthesis, santismm_thesis or strategic_hypothesis, with Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.