INDIVIDUAL MCP TOOL

calculate_human_supervision_capacity

Calculate review and escalation workload, required FTE, available headroom or backlog, monthly labour cost and sustainable case volume.

santismm.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://santismm.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for calculate_human_supervision_capacity and invoke it with your own arguments.

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Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.santismm-knowledge]
url = "https://santismm.com/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: santismm-knowledge
Remote MCP URL: https://santismm.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "santismm-knowledge",
  "transport": "streamable-http",
  "url": "https://santismm.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_overview — Get the complete MCP map — start here.
search_all — Search the core corpus, first-party essays, executable Labs, epistemic claims and the Homeric Atlas in one call.
list_knowledge — List all knowledge units (concepts on agentic & enterprise AI) with slug, category, title, summary and Evidence-First provenance.
get_knowledge — Get one knowledge unit by slug.
list_patterns — List all Enterprise AI patterns (reusable agentic design patterns) with slug, category, name, summary and provenance.
get_pattern — Get one Enterprise AI pattern by slug (includes problem, solution, KPIs, failure modes, lessons).
list_architectures — List all reference architectures (end-to-end enterprise agentic blueprints) with id, slug, category, name, summary and provenance.
get_architecture — Get one reference architecture by slug (includes the request flow, reference scenario, KPIs, cost & scaling, and the patterns/knowledge it composes).