INDIVIDUAL MCP TOOL

get_research

Every figure Sandria has published, each with its date, method, result and stated limits.

sandria.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://sandria.ai/mcp

No auth detected

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

{}

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.sandria]
url = "https://sandria.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "sandria": {
      "type": "http",
      "url": "https://sandria.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: sandria
Remote MCP URL: https://sandria.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": {
    "sandria": {
      "url": "https://sandria.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "sandria": {
      "type": "http",
      "url": "https://sandria.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

get_company — What Sandria is, what it does, who builds it, where it came from, and how it verifies claims.
get_focus — The single category Sandria serves (longevity and healthspan), what it covers, what it excludes, and why it does not work outside it.
get_pricing — Sandria's published, fixed pricing: plans, inclusions, add-ons, terms and discount policy.
get_methodology — How Sandria assesses agent readiness: the recorded agent journey and the four layers (technical, content, trust, action), plus published findings.