← aipricinghub.com

INDIVIDUAL MCP TOOL

recommend_model

Recommend models for a workload using price, context, and benchmark evidence.

aipricinghub.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://aipricinghub.com/mcp/rpc

No auth detected

Connect to this endpoint to inspect the live schema for recommend_model 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

aipricinghub.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-pricing-hub]
url = "https://aipricinghub.com/mcp/rpc"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-pricing-hub": {
      "type": "http",
      "url": "https://aipricinghub.com/mcp/rpc"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-pricing-hub
Remote MCP URL: https://aipricinghub.com/mcp/rpc

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-pricing-hub": {
      "url": "https://aipricinghub.com/mcp/rpc"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "ai-pricing-hub": {
      "type": "http",
      "url": "https://aipricinghub.com/mcp/rpc"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "ai-pricing-hub",
  "transport": "streamable-http",
  "url": "https://aipricinghub.com/mcp/rpc"
}
MCP Inspector

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

Related tools

  • search_models — Search the pricing catalog with provider, workload, context, and price filters.
  • compare_models — Compare pricing, context, and sourced benchmarks for model IDs.
  • calculate_cost — Estimate cost from model pricing and token volumes.
  • find_cheapest — Find cheapest models by combined listed input plus output token price.
  • find_best_value — Rank models by available benchmark signal per listed token price.
  • provider_summary — Summarize model count, prices, benchmarks, and changes for a provider.
  • pricing_history — Return historical pricing snapshots for a model ID.
  • benchmark_lookup — Find sourced benchmark rows by model, provider, or benchmark ID.