INDIVIDUAL MCP TOOL

compare_companies

Side-by-side AI P&Ls for up to 10 tickers.

aivaluereport.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://www.aivaluereport.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for compare_companies 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.ai-value-report]
url = "https://www.aivaluereport.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-value-report": {
      "type": "http",
      "url": "https://www.aivaluereport.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-value-report
Remote MCP URL: https://www.aivaluereport.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": {
    "ai-value-report": {
      "url": "https://www.aivaluereport.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ai-value-report": {
      "type": "http",
      "url": "https://www.aivaluereport.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-value-report",
  "transport": "streamable-http",
  "url": "https://www.aivaluereport.com/mcp"
}

MCP Inspector

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

list_companies — Free.
get_ai_pnl — AI investment, claimed value, verified value, net AI return with best/worst range, margin impact in basis points, ROI, verdict, confidence breakdown, disclosure grade with its five parts (specificity, testability, sourcing, consistency, attribution), and a productivity signal versus peers.
get_claims — Every quantified AI claim management made, with first-disclosure date, source link, and lifecycle (new, upgraded, repeated, revised, downgraded, contradicted, dropped).
get_verification_tests — How each claim was tested against its financial-statement line: years, line values, verified value by method (own trend, peer difference-in-differences, generous, strict), method agreement, and AI-attribution probability.
screen_companies — Filter covered companies.
sector_benchmarks — Totals, medians and verdict mix for a peer group (Financials, Health care, Industrials, Technology & services, Consumer & retail, Telecom) or all companies.