mcpdirectory.dev
9,129 servers · updated 23 Sept

Tensorfeed MCP server

community Active last commit 34 d
{
  "mcpServers": {
    "tensorfeed": {
      "type": "http",
      "url": "https://mcp.tensorfeed.ai/mcp"
    }
  }
}
file .mcp.json (in your project root)install npx -y @tensorfeed/mcp-serverversion 2.0.1

What it does

MCP server that provides real-time AI ecosystem data including service status, news, model pricing, and AI bot traffic. Includes 24 tools with free data access and optional premium tools paid per call in USDC on Base. AFTA-certified with signed receipts and error guarantees.

  • Check whether specific AI services like Claude, OpenAI, or Gemini are currently operational or degraded.
  • Get current pricing and context window information across major AI model providers to compare costs before running workloads.
  • Retrieve the latest AI news from 15+ sources and watch for price changes or service outages via webhook alerts.

Tools this server exposes

ToolDoes
get_ai_newsLatest AI news from 15+ sources including Anthropic, OpenAI, Google, TechCrunch, and arXiv.
get_ai_statusReal time operational status of major AI services with component detail.
is_service_downCheck whether a named AI service is operational, degraded, or down.
get_model_pricingCross-provider AI model pricing including input/output cost per 1M tokens, context window, and release date.
find_tensorfeed_dataDiscovery tool to find TensorFeed endpoints matching a plain language data need.
account_statusYour token's credit balance and recent per-endpoint usage.
list_watchesList active webhook watches owned by your token.
delete_watchDelete one of your webhook watches by id.

Before you enable it

An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.