com.santismm/knowledge

up checked 2026-11-11T06:37:43.355Z

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Publisher-provided title

Santismm Knowledge — Harness Engineering, Agentic AI & Governance

Publisher-provided description

Query AI knowledge, essays, Labs, benchmarks, Physical AI robotics, Homeric data and claims.

Summary by lookupd

Lets agents search and retrieve AI knowledge, essays, benchmarks, governance units, patterns and calculators for agent economics and…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http knowledge https://santismm.com/mcp

Codex, remote (streamable-http)

codex mcp add knowledge --url https://santismm.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "knowledge": {
      "url": "https://santismm.com/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 41)

Publisher-provided text

• 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 organisations, the fram
• get_overview Get the complete MCP map — start here. Returns the five-domain core plus the separate Article, Labs, Homeric Atlas, claim-registry, AI-benchmark and Physical AI
• search_all Search the core corpus, first-party essays, executable Labs, epistemic claims, the Homeric Atlas, the AI benchmarks (professions and benchmark catalogue) and Ph
• list_knowledge List all knowledge units (concepts on agentic & enterprise AI) with slug, category, title, summary and Evidence-First provenance. Use this to browse the domain;
• get_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_knowledge` has given you a s
• list_patterns List all Enterprise AI patterns (reusable agentic design patterns) with slug, category, name, summary and provenance. Use this to browse the catalogue; use `sea
• get_pattern Get one Enterprise AI pattern by slug (includes problem, solution, KPIs, failure modes, lessons). Use this once `search` or `list_patterns` has given you a slug
• list_architectures List all reference architectures (end-to-end enterprise agentic blueprints) with id, slug, category, name, summary and provenance. Use this to browse the bluepr
• get_architecture Get one reference architecture by slug (includes the request flow, reference scenario, KPIs, cost & scaling, and the patterns/knowledge it composes). Use this o
• list_governance List all AI governance units (regulations, standards, frameworks, playbooks — EU AI Act, ISO 42001, NIST AI RMF, agentic checklist) with id, slug, category, nam
• get_governance Get one AI governance unit by slug (includes scope, key requirements, implementable controls, a checklist and common pitfalls). Use this once `search` or `list_
• list_handbook List the Harness Engineering Handbook chapters (HRN-001…): the canonical long-form corpus on harness engineering — definition, history, taxonomy, principles, me
• get_handbook Get one Harness Engineering Handbook chapter, by id (e.g. 'HRN-001') or slug. Returns the full Markdown body plus its provenance and related ids. Use this once
• search Ranked keyword search across the whole corpus (knowledge, patterns, architectures, governance and the handbook). Matches every language and ignores accents, so
• list_articles List every long-form essay published on articles.santismm.com, with language, dates, topics and citable canonical URLs. Use this to browse the essay catalogue;
• get_article Get one complete essay by slug, including its clean Markdown-like body, metadata, licence context and canonical URL. Use this after `list_articles` or `search_a
• search_articles Ranked, accent-insensitive full-text search over every first-party essay, including titles, summaries, topics and bodies. Use this when you need long-form analy
• list_professions List the professions that have a ranking of frontier AI models built from independent benchmark results (lawyer, accountant, developer, salesperson, translator,
• recommend_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, the full table with da
• compare_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 benchmark), optionally
• list_benchmarks List every benchmark in the AI Agent Benchmarks catalogue (agentic benchmarks with SOTA, saturation and headroom) and in the radar's complementary list (vision,
• get_benchmark Get one benchmark by slug or name: what it measures, state of the art, saturation, headroom, human baseline, source and notes, the radar axis it informs, the mo
• list_labs List every SANTISMM Lab with its inputs, outputs, assumptions, formulas and citation URL. Use this to discover interactive and machine-readable tools; filter by
• get_lab Get one Lab by slug, including formulas, assumptions, related SANTISMM content and its executable endpoint when one exists. Use this after list_labs or search_a
• calculate_agent_economics Calculate monthly operating cost, cost per verified outcome, manual baseline, savings, ROI and break-even success rate from explicit assumptions. Use this for a
• calculate_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 estimate its rate at a c
• calculate_human_supervision_capacity Calculate review and escalation workload, required FTE, available headroom or backlog, monthly labour cost and sustainable case volume. Use this before producti
• search_physical_ai Search the Physical AI dataset — real robot platforms (humanoids, quadrupeds, mobile manipulators, UGVs, drones), documented deployments with sources, the enter
• get_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, access, lifecycle), a
• compare_physical_ai_platforms Compare 2–5 platforms side by side on published fields only — payload, runtime, weight, speed, IP rating, temperature range, price, autonomy, coordination, cont

Details

• Version: 0.6.1
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 1073 ms
• First indexed: 2026-11-01T08:57:45.517Z
• Last seen in registry: 2026-11-07T10:17:25.767Z
• Repository: https://github.com/santismm/santismm-knowledge-mcp
• Website: https://santismm.com/en/mcp

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