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tensorfeed

[![RipperMercs/tensorfeed MCP server](https://glama.ai/mcp/servers/RipperMercs/tensorfeed/badges/score.svg)](https://glama.ai/mcp/servers/RipperMercs/tensorfee…

AI & ML

tensorfeed is a community MCP server that connects AI assistants like Claude to [![rippermercs/tensorfeed mcp server](https://glama.ai/mcp/servers/rippermercs/tensorfeed/badges/score.svg)](https://glama.ai/mcp/servers/rippermercs/tensorfee…. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About tensorfeed

Overview

RipperMercs/tensorfeed MCP server 📇 ☁️ - Real-time AI industry intelligence MCP server. 6 free tools (AI news, service status, model pricing, today summary, agent activity, MCP registry snapshot) and 13 paid premium tools (routing recommendations, news search, history series, cost projection, provider deep-dive, model comparison, agents directory, what's new brief, MCP registry series, webhook watches with daily/weekly digest tier). Pay-per-call in USDC on Base mainnet, no accounts. npx -y @tensorfeed/mcp-server

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Who Should Use tensorfeed?

  • 1Chain AI models and pipelines through a unified MCP interface
  • 2Let Claude orchestrate other AI tools and models
  • 3Integrate embeddings, image generation, or speech APIs into your workflow
  • 4Build multi-model workflows without writing custom integration code

How tensorfeed Compares

It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.
Compared to other AI & ML MCP servers, it focuses on a well-scoped set of capabilities, which keeps the integration lightweight and predictable.

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