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Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims.
Santismm Knowledge — Harness Engineering, Agentic AI & Governance is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Santismm Knowledge — Harness Engineering, Agentic AI & Governance to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add com.santismm/knowledge https://santismm.com/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-02T14:04:29.262044Z",
"publishedAt": "2026-09-02T14:04:29.262044Z",
"statusChangedAt": "2026-09-02T14:04:29.262044Z"
}
},
"server": {
"name": "com.santismm/knowledge",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"com.santismm": {
"bulk": {
"graph": "https://santismm.com/api/graph.json",
"labsOpenApi": "https://labs.santismm.com/openapi.json",
"llmsFullTxt": "https://santismm.com/llms-full.txt"
},
"tags": [
"harness-engineering",
"agentic-ai",
"agent-patterns",
"reference-architectures",
"ai-governance",
"agent-taxonomy",
"context-engineering",
"observability",
"evaluation",
"agent-economics",
"human-supervision",
"rag",
"eu-ai-act",
"iso-42001",
"nist-ai-rmf"
],
"locales": [
"en",
"es",
"pt"
],
"categories": [
"knowledge-base",
"ai-agents",
"governance-and-compliance",
"software-architecture"
],
"attribution": "Santiago Santa María Morales — https://santismm.com",
"contentLicense": "CC-BY-4.0",
"contentLicenseUrl": "https://creativecommons.org/licenses/by/4.0/"
}
}
},
"icons": [
{
"src": "https://santismm.com/mcp-icon-512.png",
"sizes": [
"512x512"
],
"mimeType": "image/png"
},
{
"src": "https://santismm.com/mcp-icon-128.png",
"sizes": [
"128x128"
],
"mimeType": "image/png"
}
],
"title": "Santismm Knowledge — Harness Engineering, Agentic AI & Governance",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://santismm.com/mcp",
"type": "streamable-http"
}
],
"version": "0.4.1",
"repository": {
"url": "https://github.com/santismm/santismm-knowledge-mcp",
"source": "github"
},
"websiteUrl": "https://santismm.com/en/mcp",
"description": "Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims."
}
}