Santismm Knowledge — Harness Engineering, Agentic AI & Governance

santismm-knowledge-mcp

MCP server for the Santismm Knowledge Platform — five core knowledge domains, first-party essays, Homeric Atlas datasets and epistemic claims.

This repository is generated from the platform at santismm.com. Do not edit it by hand; changes are overwritten on the next sync. Corrections go through the site.

Use it without installing anything

The same server is hosted, so most people want the endpoint rather than this repository:

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

Docs: https://santismm.com/en/mcp · Registry: com.santismm/knowledge

Where this server is listed

Derived from the same list the site renders on its own MCP page, so a registry added there is linked from here too — and a directory that checks for a backlink before ranking a server finds one without anybody remembering to add it.

• registry.modelcontextprotocol.io
• npmjs.com
• pypi.org
• github.com
• smithery.ai
• glama.ai
• mcpservers.org

Run it locally (stdio)

npm ci && npm run build && npm start

The core corpus ships in content/ and is read from disk, so its tools work offline. The federated Article, Labs and benchmark tools read their canonical first-party APIs over HTTPS (benchmarks: SANTISMM_BENCHMARKS_URL). Point the core corpus elsewhere with SANTISMM_CONTENT_DIR.

Install from npm

npx santismm-knowledge-mcp

Or in an MCP client config (stdio):

{ "mcpServers": { "santismm-knowledge": { "command": "npx", "args": ["santismm-knowledge-mcp"] } } }

The npm package carries the corpus frozen at publish time; this repository and the hosted endpoint update continuously. When freshness matters, prefer the endpoint.

Install from PyPI (Python)

uvx santismm-knowledge-mcp

The Python package (in python/) is a zero-dependency stdio proxy to the hosted endpoint — it ships no corpus, so it is always fresh.

{ "mcpServers": { "santismm-knowledge": { "command": "uvx", "args": ["santismm-knowledge-mcp"] } } }

Licences

Code is MIT (LICENSE); the knowledge corpus in content/ is CC BY 4.0 (content/LICENSE) — two licences because CC BY is not a software licence and MIT is not a content licence.

What it exposes

36 read-only tools over knowledge, patterns, architectures, governance, the Harness Engineering Handbook, first-party Articles, Labs and the AI benchmarks, each declaring an outputSchema and returning validated structuredContent. Every tool is annotated readOnlyHint: true, destructiveHint: false and idempotentHint: true. The federated Article, Labs and benchmark tools declare openWorldHint: true; local-corpus tools remain false.

Content in seven languages (en/es/pt/fr/de/ja/zh).

Licence

Code: MIT. Content: Content © Santiago Santa María Morales, licensed CC BY 4.0. Attribution required: credit the author and link the canonical URL. (CC-BY-4.0, https://creativecommons.org/licenses/by/4.0/).