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Tensorfeed

by RipperMercs

Query AI news, status, pricing, activity, and MCP registry data with free and pay-per-call premium tools.

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Install Tensorfeed

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "rippermercs-tensorfeed": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 24 tools correctly (4d ago).

Overview

RipperMercs/tensorfeed provides real-time AI industry intelligence through MCP tools for news, service status, model pricing, daily summaries, agent activity, and MCP registry data. It offers six free tools alongside 13 premium tools for tasks such as routing advice, provider research, cost projection, and historical series. Premium access uses pay-per-call USDC payments on Base mainnet and does not require an account. Reach for it when an agent needs current AI ecosystem data or paid, more specialized analysis.

Use cases

  • Check current AI service status and model pricing
  • Summarize today’s AI industry news
  • Compare models and investigate providers
  • Project AI costs and get routing recommendations
  • Monitor MCP registry changes with recurring digests

Key features

  • Six free AI intelligence tools
  • Thirteen pay-per-call premium tools
  • AI news, status, pricing, and activity data
  • Model, provider, and routing analysis
  • MCP registry snapshots and historical series
  • Webhook watches with daily or weekly digests

Tools24

What Tensorfeed lets your agent do. Expand a tool for its parameters.

Verified live~5.2k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

Not checked yetLast checked Today

We have not completed a health check for this listing yet.

8/59 checks healthy over the last 78d

What it can do

From the 24 tools this server returned when we ran it; 24 declare their own safety hints.

Can delete or modify data · 1Handles credentials · 4Makes network requests · 24Read-only tools · 23
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceNot published
Package age178 days
Maintainers1

Observed 2026-10-23 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 9d ago via OSV.dev · @tensorfeed/mcp-server (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars2Stargazers on the source repository.
npm downloads1.7kPackage downloads in the last 30 days.
Last commit1mo agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed24Callable tools this server registers over MCP.
Directory activity3 viewsConfig copies, upvotes, and views on AllMCPs.

How Tensorfeed works

What RipperMercs/tensorfeed MCP server does

RipperMercs/tensorfeed exposes AI industry intelligence through the Model Context Protocol. Its free tool set covers six recurring information needs: AI news, service status, model pricing, a summary for the current day, agent activity, and a snapshot of the MCP registry.

The server also includes 13 premium tools for deeper analysis and monitoring. These capabilities include routing recommendations, news search, historical data series, cost projections, provider deep-dives, model comparisons, an agents directory, a “what’s new” brief, MCP registry series, and webhook watches. Webhook watches include daily and weekly digest tiers.

How it works

An MCP client connects to the Tensorfeed server and invokes the available tools as needed. Free tools provide the baseline intelligence set. Premium tools use a pay-per-call model, with payment made in USDC on Base mainnet. The service is accountless, so access does not depend on creating or maintaining a user account.

The tool grouping suits both point-in-time questions and ongoing monitoring. An agent can request a current status or pricing result, use search and comparison functions for research, or draw on series and digest features for changes over time.

Setup and configuration

Run the published package with npx:

Terminal
npx -y @tensorfeed/mcp-server

Premium calls require USDC payment on Base mainnet. No account is required to use the service. The package command is the documented launch method, and no environment variables are needed for the basic setup described here.

Tools and capabilities

The six free tools cover:

  • AI industry news
  • AI service status
  • Model pricing
  • A summary of today’s developments
  • Agent activity
  • An MCP registry snapshot

Premium capabilities cover routing recommendations, news search, historical series, cost projection, provider deep-dives, model comparison, an agents directory, new-developments briefs, MCP registry series, and webhook watches with daily or weekly digest options.

Limitations and notes

Premium functionality is billed per call rather than through an account subscription. Payments use USDC on Base mainnet, so a setup using premium tools must support that payment network and asset. The free and paid capabilities are distinct, making the server suitable for basic intelligence queries without payment as well as workflows that need deeper analysis or recurring digests.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about Tensorfeed

RipperMercs/tensorfeed is an MCP server that connects agents to real-time AI industry intelligence, including AI news, service status, model pricing, daily summaries, agent activity, and MCP registry data. It also provides premium tools for routing, research, comparisons, cost projections, provider analysis, and registry monitoring.

Run `npx -y @tensorfeed/mcp-server` to launch RipperMercs/tensorfeed. Premium calls use pay-per-call USDC on Base mainnet, and the service does not require an account.

The free tools cover AI news, AI service status, model pricing, a summary for today, agent activity, and an MCP registry snapshot. These provide the server’s baseline AI industry intelligence without the premium tool set.

Premium tools use pay-per-call billing in USDC on Base mainnet. The paid set includes capabilities such as news search, model comparison, cost projection, provider deep-dives, routing recommendations, historical series, and webhook watches.

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