Learning Resources

stoicsage.ai

Provides search and retrieval of Stoic philosophical texts and daily reflections.

1 endpoint3 known toolsFirst detected August 20, 2026Last detected August 20, 2026

ENDPOINT 1

https://stoicsage.ai/mcp

No auth detected

Capabilities

tools

Semantic search across the Stoic corpus (Marcus Aurelius, Seneca, Epictetus).

Inferred read-only

Fetch one passage by source, book/chapter, and entry id.

Inferred read-only

Get today's date-seeded Stoic reflection and its AI commentary (if generated).

Inferred read-only

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.stoic-sage]
url = "https://stoicsage.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "stoic-sage": {
      "type": "http",
      "url": "https://stoicsage.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: stoic-sage
Remote MCP URL: https://stoicsage.ai/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": {
    "stoic-sage": {
      "url": "https://stoicsage.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "stoic-sage": {
      "type": "http",
      "url": "https://stoicsage.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "stoic-sage",
  "transport": "streamable-http",
  "url": "https://stoicsage.ai/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for stoicsage.ai was fetched 2026-08-24T01:59:30.706Z.

Trust status Trusted

stoicsage.ai is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.