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Tensorfeed MCP Server

Tensorfeed MCP Server

Local
github.com/RipperMercsAI & Agents0
Repository

About Tensorfeed MCP Server

MCP server for AI industry intelligence: real-time AI news, service status, model pricing, and 15 paid premium tools (routing, news search, history series, cost projection, forecasting, provider deep-dive, model comparison, webhook watches). Pay-per-call in USDC on Base mainnet

#ai-news#x402#usdc#base#mcp#agent-payments

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "rippermercs": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ]
    }
  }
}
Run commandnpx -y @tensorfeed/mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@tensorfeed/mcp-server

Tools

25

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
categorystringNoFilter by category (e.g. "anthropic", "openai", "research", "tools")
limitnumberNoNumber of articles to return (default 10, max 50)

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.