Santismm Knowledge — Harness Engineering & Agentic AI

Read-only MCP server with 30 typed, structured-output tools for Harness Engineering, agentic AI patterns, reference architectures, AI governance, first-party…

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What it can do

  • Get Overview: Get the complete MCP map — start here. Returns the five-domain core plus the separate Article, Labs, Homeric Atlas and claim-registry surfaces, with their tools, identifiers, citation ru
  • Search All: Search the core corpus, first-party essays, executable Labs, epistemic claims and the Homeric Atlas in one call. Use this first when a natural-language question might require a calculation
  • 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; use `search` when you h

What data it sees

Do you need an account

No: the server works without sign-in

Read-only MCP server with 30 typed, structured-output tools for Harness Engineering, agentic AI patterns, reference architectures, AI governance, first-party essays, executable Labs, Homeric data and epistemic claims. The core corpus is available in English, Spanish and Portuguese.

What's inside

  • 72 core units: 23 knowledge units, 21 enterprise agent patterns, 5 reference architectures, 9 governance units and 14 Harness Engineering Handbook chapters
  • 21 Labs, including 10 executable experiences and three deterministic calculators
  • First-party Articles
  • The Homeric Atlas: places, episodes and rival route reconstructions with an explicit 0–12 evidence rubric
  • An epistemic claim registry with confidence, basis, limitations and falsification criteria

Why call it

Every result is read-only and structured for agents. Core units carry Evidence-First provenance; executable Labs return versioned assumptions, formulas, warnings and canonical URLs. The Agentic Control Matrix maps 18 controls across the EU AI Act, ISO/IEC 42001, NIST AI RMF, OWASP LLM Top 10 and MITRE ATLAS.

Start with get_overview for the complete map, search_all for natural-language discovery across every surface, or search for the five-domain core. Then use the relevant list_* and get_* tools for citable records.

No authentication, credentials or writes. Content is licensed CC BY 4.0.

How to connect

How to connect Santismm Knowledge — Harness Engineering & Agentic AI to Claude

The server address to paste into Claude settings:

https://knowledge--santismm.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Santismm Knowledge — Harness Engineering & Agentic AI to ChatGPT

The server address to paste into ChatGPT settings:

https://knowledge--santismm.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Santismm Knowledge — Harness Engineering & Agentic AI to Cursor

The server address to paste into Cursor settings:

https://knowledge--santismm.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (30)

Raw names from tools/list. Only developers need these.

get_overviewGet the complete MCP map — start here. Returns the five-domain core plus the separate Article, Labs, Homeric Atlas and claim-registry surfaces, with their tools, identifiers, citation rules, languages, licence and bulk-ingest URLs.
search_allSearch the core corpus, first-party essays, executable Labs, epistemic claims and the Homeric Atlas in one call. Use this first when a natural-language question might require a calculation, a long-form essay or a claim audit rather than only a core knowledge unit. Results name the next tool to call; calculator-shaped questions are routed toward Labs.
list_knowledgeList all knowledge units (concepts on agentic & enterprise AI) with slug, category, title, summary and Evidence-First provenance. Use this to browse the domain; use `search` when you have a question rather than a slug.
get_knowledgeGet 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 slug.
list_patternsList all Enterprise AI patterns (reusable agentic design patterns) with slug, category, name, summary and provenance. Use this to browse the catalogue; use `search` when you are looking for a pattern that solves a problem.
get_patternGet 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_architecturesList all reference architectures (end-to-end enterprise agentic blueprints) with id, slug, category, name, summary and provenance. Use this to browse the blueprints; use `search` when you have a use case rather than a name.
get_architectureGet one reference architecture by slug (includes the request flow, reference scenario, KPIs, cost & scaling, and the patterns/knowledge it composes). Use this once `search` or `list_architectures` has given you a slug.
list_governanceList all AI governance units (regulations, standards, frameworks, playbooks — EU AI Act, ISO 42001, NIST AI RMF, agentic checklist) with id, slug, category, name and summary. Use this to browse the regulations and standards; use `search` for an obligation or control.
get_governanceGet one AI governance unit by slug (includes scope, key requirements, implementable controls, a checklist and common pitfalls). Use this once `search` or `list_governance` has given you a slug.
list_handbookList the Harness Engineering Handbook chapters (HRN-001…): the canonical long-form corpus on harness engineering — definition, history, taxonomy, principles, memory, observability, evaluation, governance, planning, orchestration, security, case studies, glossary and bibliography. Use this to see the chapter map; use `search` when you have a topic rather than a chapter.
get_handbookGet 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` or `list_handbook` has given you an id.
searchRanked keyword search across the whole corpus (knowledge, patterns, architectures, governance and the handbook). Matches every language and ignores accents, so query in the user's own words. Each hit carries a relevance score and the fields it matched; follow up with the matching get_* tool for full detail. Use this before any `get_*` tool whenever you have a question rather than an identifier.
list_articlesList every long-form essay published on articles.santismm.com, with language, dates, topics and citable canonical URLs. Use this to browse the essay catalogue; use `search_articles` when you have a topic rather than a slug.
get_articleGet one complete essay by slug, including its clean Markdown-like body, metadata, licence context and canonical URL. Use this after `list_articles` or `search_articles` has returned the slug you need.
search_articlesRanked, accent-insensitive full-text search over every first-party essay, including titles, summaries, topics and bodies. Use this when you need long-form analysis about a topic; follow with `get_article` for the complete essay.
list_labsList every SANTISMM Lab with its inputs, outputs, assumptions, formulas and citation URL. Use this to discover interactive and machine-readable tools; filter by kind when the user specifically asks for a calculator, converter, experiment or educational game.
get_labGet one Lab by slug, including formulas, assumptions, related SANTISMM content and its executable endpoint when one exists. Use this after list_labs or search_all; use the named calculate_* tool rather than reimplementing a published formula.
calculate_agent_economicsCalculate monthly operating cost, cost per verified outcome, manual baseline, savings, ROI and break-even success rate from explicit assumptions. Use this for an agent business case or scenario comparison; keep every monetary input in the same currency and cite the returned canonical_url.
calculate_evaluation_sample_sizeCalculate 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 chosen margin. Use this when a user asks how many tests are enough; do not interpret zero observed failures as proof of zero risk.
calculate_human_supervision_capacityCalculate review and escalation workload, required FTE, available headroom or backlog, monthly labour cost and sustainable case volume. Use this before production rollout to test whether the stated human-oversight model is operationally credible; the result uses averages and is not a queueing simulation.
get_relatedTraverse the knowledge graph: given a unit, return its neighbours — the units it links to (outgoing) and the units that reference it (incoming), each with the relationship type. Use this after a `get_*` call to widen an answer with adjacent units.
list_homeric_placesList every place in the Homeric Atlas with its identification class, its confidence score and how many competing identifications it carries. Use this to browse the atlas; use `get_homeric_place` once you have a slug. Identification classes: accepted (an excavated site with consensus), plausible (a real place, contested), speculative (a minority reading or a later tradition), mythical (the poem places it outside the mappable world). Confidence is a published 0-12 rubric - textual, archaeological, scholarly and geographic, 0-3 each - and is an editorial judgement, not a probability.
get_homeric_placeGet one place by slug: every identification proposed for it, each with its own coordinates, class, 0-12 rubric and sources, plus the attested passages. Use this when you need to weigh the evidence for a location, or to cite it; a place the poem does not locate carries no coordinates at all.
list_homeric_episodesList every episode of the Iliad and the Odyssey held in the atlas, in reading order, with its passage, the places it involves and how firmly it can be located. Use this to find the episode you want; use `get_homeric_episode` for its theories and sources.
get_homeric_episodeGet one episode by slug: the passage, the narrative, the competing theories about where it happened (each with its proponent and sources), the confidence rubric and the FAQs. Use this when the question is where an episode took place and who argued for it.
list_homeric_routesList the reconstructed itineraries (the nostos of Odysseus and the others), each with its rival reconstructions scored separately. Use this to see which voyages the atlas reconstructs before fetching one.
get_homeric_routeGet one route by slug: each reconstruction variant with its ordered stops, the hypothesis chosen at each stop, its confidence rubric and its sources. Use this to compare rival reconstructions of a voyage: they are returned side by side rather than merged.
list_claimsList the load-bearing claims of the corpus, each tagged as observed_fact, industry_synthesis, santismm_thesis or strategic_hypothesis, with its confidence and the units it underpins. Use this before quoting the handbook to know whether a statement is evidence, a reading of the industry, or a position taken. Filter by `claim_type` to get only what is checkable.
get_claimGet one claim by id (HE-CLAIM-001) or slug: the statement, what it rests on, its structured sources, and — always present — what it does NOT establish and the observation that would retire it. Use this to cite the corpus honestly, or to check whether a result you have just measured confirms or falsifies a claim it makes.
Santismm Knowledge — Harness Engineering & Agentic AI: connect to Claude, ChatGPT, Cursor · Connectors.fun