Tensorfeed

Install Tensorfeed

npx -y @tensorfeed/mcp-server

claude mcp add tensorfeed -- npx -y @tensorfeed/mcp-server

Use Tensorfeed with Claude Code

Once the server is on your machine, register it with Claude Code so the agent can call it like any other tool. The general pattern is:

claude mcp add rippermercs-tensorfeed -- npx -y @tensorfeed/mcp-server

After it's registered, run claude and ask anything that requires Tensorfeed. Claude Code will negotiate the MCP handshake and surface the server's tools, prompts, and resources to the model automatically. See our Claude Code MCP guide for environment variables, scope flags, and credential handling.

What this server is for

Tensorfeed sits in the aggregators category. It's community-maintained — check the repo's last-commit date and open issues before depending on it in production. The full description from the source list:

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`

FAQ

Is Tensorfeed free?

Yes — every MCP server in the ClawHire directory is open-source or freely available. Some servers proxy to paid APIs (you supply your own keys), but the server itself is free.

Does it work with Claude Desktop / Cursor / Windsurf?

If a client speaks the Model Context Protocol, it can use this server. The transport (stdio vs SSE vs HTTP) needs to match what the client supports, but the server itself is client-agnostic.

How do I report a bug or contribute?

Open an issue or PR on the GitHub repository.