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Santismm Knowledge — Harness Engineering, Agentic AI & Governance MCP Server

com.santismm/knowledge
not responding

Santismm Knowledge — Harness Engineering, Agentic AI & Governance is listed as active in the registry but did not answer our last check. It exposes 13 tools. Last commit 2 Aug 2026.

Search harness engineering, agentic AI patterns, architectures, governance and agent taxonomy.

Uptime history 42 hours of history · worst hour 0%
42 hours agonow
8.7%
Uptime 24h
8 of 92 checks
13
Tools
read from the server
1180 ms
Response time
average over 24h
0
Stars
last commit 2 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

run in your terminal
claude mcp add knowledge --transport http https://santismm.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "knowledge": {
      "url": "https://santismm.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.knowledge]
url = "https://santismm.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "knowledge": {
      "url": "https://santismm.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "knowledge": {
      "url": "https://santismm.com/mcp"
    }
  }
}

Available tools 13

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

governance
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.
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` for an obligation or control.
handbook
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.
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, case studies, glossary and bibliography. Use this to see the chapter map; use `search` when you have a topic rather than a chapter.
knowledge
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.
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.
architecture
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.
architectures
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.
overview
get_overview
Get the corpus map — start here. Returns every domain (knowledge, patterns, architectures, governance and the Harness Engineering Handbook) with what it holds, the categories inside it, which tool retrieves a unit and what identifier that tool expects, plus the languages, licence and bulk-ingest URLs. One call is enough to know exactly where to go next.
pattern
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.
patterns
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.
related
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 units.
search
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 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.

Endpoints

URLTransportStateLatencyChecked
https://santismm.com/mcp streamable-http answering 130 ms 1 min ago

Santismm Knowledge — Harness Engineering, Agentic AI & Governance — questions

Answers built from our own checks of this server.

What can Santismm Knowledge — Harness Engineering, Agentic AI & Governance do?
It exposes 13 tools, read directly from the server on our last check. Among them: get_architecture, get_governance, get_handbook, get_knowledge, get_overview, get_pattern and 7 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Santismm Knowledge — Harness Engineering, Agentic AI & Governance mostly used for?
Its tools cluster around governance, handbook and knowledge. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Santismm Knowledge — Harness Engineering, Agentic AI & Governance working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 8 of 92 checks got a reply (8.7%), average response time 1180 ms. The bar chart above shows every period we have measured.
The registry lists Santismm Knowledge — Harness Engineering, Agentic AI & Governance as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Santismm Knowledge — Harness Engineering, Agentic AI & Governance?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Santismm Knowledge — Harness Engineering, Agentic AI & Governance need an API key?
No. Santismm Knowledge — Harness Engineering, Agentic AI & Governance completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 13 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Santismm Knowledge — Harness Engineering, Agentic AI & Governance?
It answers our handshake in 1180 ms on average, which is faster than 3% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Santismm Knowledge — Harness Engineering, Agentic AI & Governance open source?
Yes — it is published under the NOASSERTION licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.