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Santismm Knowledge MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://santismm.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

13 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

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

Documentation

View on GitHub

From the project's GitHub README.

santismm-knowledge-mcp

santismm-knowledge-mcp MCP server

MCP server for the Santismm Knowledge Platform — harness engineering, agentic AI patterns, reference architectures, AI governance and the agent taxonomy.

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

Run it locally (stdio)

npm ci && npm run build && npm start

The corpus ships in content/ and is read from disk, so this works offline. Point it 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

21 read-only tools over knowledge, patterns, architectures, governance and the Harness Engineering Handbook, each declaring an outputSchema and returning validated structuredContent. Every tool is annotated readOnlyHint: true, destructiveHint: false, idempotentHint: true, openWorldHint: false — literally true: it reads a static corpus and nothing else.

Content in three languages (en/es/pt).

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/).

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