# Santismm Knowledge MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.santismm%2Fknowledge
Registry id: `mcp-registry/com.santismm/knowledge`
Status: dead (checked 2026-10-26T11:59:03.915Z)

## Measurements (30 days)

- Uptime: 99.72%
- Checks: 4057
- Outages (90 days): 4

## Install

```json
{
  "mcpServers": {
    "santismm-knowledge-mcp-server": {
      "type": "http",
      "url": "https://santismm.com/mcp"
    }
  }
}
```

Claude Code:

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

## Tools (36)

- `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
- `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
- `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
- `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
- `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_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
- `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 o
- `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_
- `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 
- `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
- `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
- `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 t
- `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
- `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
- `get_overview`: Get the complete MCP map — start here. Returns the five-domain core plus the separate Article, Labs, Homeric Atlas, claim-registry and AI-benchmark surfaces, wi
- `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
- `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 r
- `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
- `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; 
- `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,
- `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 t
- `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
- `list_handbook`: List the Harness Engineering Handbook chapters (HRN-001…): the canonical long-form corpus on harness engineering — definition, history, taxonomy, principles, me
- `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. 
- `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 
- `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
- `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;
- `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
- `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
- `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
- `search`: Ranked keyword search across the whole corpus (knowledge, patterns, architectures, governance and the handbook). Matches every language and ignores accents, so 
- `search_all`: Search the core corpus, first-party essays, executable Labs, epistemic claims, the Homeric Atlas and the AI benchmarks (professions and benchmark catalogue) in 
- `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

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.