Santismm Knowledge — Harness Engineering, Agentic AI & Governance is a remote MCP server that gives an AI agent 30 tools, among them calculate_agent_economics, calculate_evaluation_sample_size, calculate_human_supervision_capacity. It answers at https://santismm.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Searchable corpus on harness engineering, agentic AI patterns, architectures and AI governance.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 an agent business case or scenario comparison; keep every monetary input in the s Inputs: monthlyVolume, manualMinutes, hourlyCost, inputTokens, outputTokens, inputPrice |
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 chosen margin. Use this when a user asks how many tests are enough; do not interp Inputs: failureRate, confidence, margin, population |
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 production rollout to test whether the stated human-oversight model is operationally cre Inputs: volume, sample, reviewMinutes, escalationRate, escalationMinutes, workdays |
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 once `search` or `list_architectures` has given you a slug. Inputs: slug, locale |
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_articles` has returned the slug you need. Inputs: slug |
get_claim | Get 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 che Inputs: id, locale |
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_governance` has given you a slug. Inputs: slug, locale |
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` or `list_handbook` has given you an id. Inputs: id, locale |
get_homeric_episode | Get 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 Inputs: slug, locale |
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 attested passages. Use this when you need to weigh the evidence for a location, or to cite it; a place the Inputs: slug, locale |
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 its sources. Use this to compare rival reconstructions of a voyage: they are returned side by side rath Inputs: slug, locale |
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 slug. Inputs: slug, locale |
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_all; use the named calculate_* tool rather than reimplementing a published formul Inputs: slug |
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 rules, languages, licence and bulk-ingest URLs. |
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. Inputs: slug, locale |
get_related | Traverse 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 Inputs: domain, slug, locale |
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 blueprints; use `search` when you have a use case rather than a name. Inputs: locale |
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; use `search_articles` when you have a topic rather than a slug. Inputs: locale |
list_claims | List 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 st Inputs: claim_type, locale |
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, name and summary. Use this to browse the regulations and standards; use `search` fo Inputs: locale |
list_handbook | List 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, Inputs: locale |
list_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 firmly it can be located. Use this to find the episode you want; use `get_homeric_episode` for its theorie Inputs: locale |
list_homeric_places | List 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: Inputs: locale |
list_homeric_routes | List 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. Inputs: locale |
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 have a question rather than a slug. Inputs: locale |
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 kind when the user specifically asks for a calculator, converter, experiment or Inputs: kind |
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 `search` when you are looking for a pattern that solves a problem. Inputs: locale |
search | Ranked 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 Inputs: query, domains, limit, locale |
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, a long-form essay or a claim audit rather than onl Inputs: query, surfaces, limit_per_surface, locale |
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 analysis about a topic; follow with `get_article` for the complete essay. Inputs: query, locale, limit |
Every block below points at https://santismm.com/mcp. Pick your client and copy.
claude mcp add --transport http santismm-knowledge-harness-engin https://santismm.com/mcp
{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://santismm.com/mcp"]
}
}
}{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"url": "https://santismm.com/mcp"
}
}
}{
"servers": {
"santismm-knowledge-harness-engin": {
"type": "http",
"url": "https://santismm.com/mcp"
}
}
}{
"context_servers": {
"santismm-knowledge-harness-engin": {
"url": "https://santismm.com/mcp"
}
}
}{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"serverUrl": "https://santismm.com/mcp"
}
}
}{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"url": "https://santismm.com/mcp"
}
}
}name: Santismm Knowledge — Harness Engineering, Agentic AI & Governance
version: 0.0.1
schema: v1
mcpServers:
- name: Santismm Knowledge — Harness Engineering, Agentic AI & Governance
type: streamable-http
url: https://santismm.com/mcp{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"httpUrl": "https://santismm.com/mcp"
}
}
}{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"type": "http",
"url": "https://santismm.com/mcp"
}
}
}{
"mcpServers": {
"santismm-knowledge-harness-engin": {
"url": "https://santismm.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fsantismm.com%2Fmcp&type=streamable_http&id=santismm-knowledge-harness-engin&name=Santismm%20Knowledge%20%E2%80%94%20Harness%20Engineering%2C%20Agentic%20AI%20%26%20Governance
It answered our last check on 18 October 2026 in 249 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by santismm.com and served from santismm.com, the vendor's own domain: https://santismm.com/mcp.
30, as returned by the server's own tools/list on 31 August 2026: calculate_agent_economics, calculate_evaluation_sample_size, calculate_human_supervision_capacity, get_architecture, get_article, get_claim, get_governance, get_handbook, and 22 more.
It answered our last check on 18 October 2026 in 249 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://santismm.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.santismm. Endpoint host: santismm.com. ARD identifier: urn:air:com.santismm:mcp:knowledge.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.