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MCP Server

Connect AI agents to DemandSphere Radar data via the Model Context Protocol. 57 AI models and 173 algorithm updates, queryable by any MCP client.

Endpoint

https://www.demandsphere.com/mcp

MCP JSON-RPC 2.0 over HTTP. No authentication. No rate limiting. Powered by Cloudflare Workers.

License

CC BY-NC 4.0 View license
  • Attribution required - credit DemandSphere
  • Non-commercial use only
  • Commercial use requires written permission

Quick Start

Claude Desktop / Claude Code
{
  "mcpServers": {
    "demandsphere-radar": {
      "url": "https://www.demandsphere.com/mcp"
    }
  }
}
curl
curl -X POST https://www.demandsphere.com/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

Available Tools

get_ai_models AI Models

List and filter frontier AI models. Returns name, provider, release date, parameters, benchmarks, and pricing. Sorted by release date descending.

Parameters: provider? type? access? after_date? before_date? limit?
get_ai_model_by_id AI Models

Get a single model's full record by ID. Includes all benchmarks, pricing, download links, and source URL.

Parameters: id (required)
search_ai_models AI Models

Search models by name, provider, or description.

Parameters: query (required) limit?
calculate_model_cost AI Models

Calculate token costs. Defaults to 1M input + 1M output if omitted (baseline comparison).

Parameters: model (required) input_tokens? output_tokens?
get_providers AI Models

List all tracked providers with model counts and latest release dates. Use to discover valid provider names for filtering.

Parameters: none
get_algorithm_updates Algorithm Tracker

List and filter Google algorithm and AI search updates from 2000 to present.

Parameters: type? year? after_date? before_date? limit?
search_algorithm_updates Algorithm Tracker

Search algorithm updates by name or description.

Parameters: query (required) limit?
get_server_info Meta

Server metadata: data freshness timestamps, model/provider/update counts, version. Use to verify recency.

Parameters: none

Example: Search for "opus"

Request

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "search_ai_models",
    "arguments": { "query": "opus" }
  }
}

Response (abbreviated)

{
  "query": "opus",
  "count": 3,
  "models": [
    {
      "name": "Claude Opus 4.7",
      "provider": "Anthropic",
      "released": "2026-04-16",
      "pricing": {
        "input_per_mtok": "$5",
        "output_per_mtok": "$25"
      }
    }, ...
  ]
}

Discovery

AI agents can discover this MCP server through standard discovery mechanisms:

<link rel="mcp"> In every page <head>
/.well-known/mcp.json Server metadata and tool list
/.well-known/mcp/server-card.json Extended server card with data source descriptions
/llms.txt MCP server documented in site overview

Data Sources

AI Frontier Model Tracker

57 models across 15 providers. Benchmarks, pricing, architecture, and capabilities.

View tracker →

Algorithm Update Tracker

173 Google algorithm and AI search updates from 2000 to present.

View tracker →

Powered by DemandSphere

Track how these models see your brand

Monitor your brand visibility across ChatGPT, Gemini, AI Overviews, AI Mode, Perplexity, Copilot, and more.