# TensorFeed MCP Server

> Use this tool when you need to access real-time AI ecosystem data and premium tools for informed decision-making. The TensorFeed MCP Server provides news, status, pricing, and latency data, and accepts payments in USDC on Base, making it a versatile solution for AI agents. It is compatible with any MCP client, allowing for seamless integration into existing workflows.

Canonical page: https://skillsregistry.net/skills/rippermercs-tensorfeed-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rippermercs-tensorfeed-mcp

## Description

Provides AI agents with real-time AI ecosystem data (news, status, pricing, latency) and premium tools paid via USDC on Base, compatible with any MCP client.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mkv04pwckn)
- **Repository:** <https://github.com/RipperMercs/tensorfeed-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rippermercs-tensorfeed-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rippermercs-tensorfeed-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rippermercs-tensorfeed-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt