INDIVIDUAL MCP TOOL

get_claims

Every quantified AI claim management made, with first-disclosure date, source link, and lifecycle (new, upgraded, repeated, revised, downgraded, contradicted, dropped).

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 get_claims and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

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.

Parent server

aivaluereport.com

CONNECT WITH APPROVAL

Client installation

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.

Related tools

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