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MCP server for TensorFeed.ai - real-time AI news, model pricing, status, MCP registry growth, latency probes, and 14 premium endpoints (routing, cost projection, news search, webhook watches, etc) paid in USDC on Base. Free tier and paid tier in one server.

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Last scanned: 10/20/2026
Install in Claude Code / Claude Desktop
Method: NPX · @tensorfeed/mcp-server
Claude Code CLI
claude mcp add tensorfeed-mcp -- npx -y @tensorfeed/mcp-server
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "tensorfeed-mcp": {
      "command": "npx",
      "args": ["-y", "@tensorfeed/mcp-server"],
      "env": {
        "TENSORFEED_TOKEN": "<tensorfeed_token>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Detected environment variables
TENSORFEED_TOKEN
Casos de uso

Resumen de MCP Servers

# TensorFeed MCP Server

[![npm version](https://img.shields.io/npm/v/@tensorfeed/mcp-server.svg?style=flat-square&color=cb3837)](https://www.npmjs.com/package/@tensorfeed/mcp-server)
[![MCP Registry](https://img.shields.io/badge/MCP_Registry-ai.tensorfeed%2Fmcp--server-2563eb?style=flat-square)](https://registry.modelcontextprotocol.io/v0/servers/ai.tensorfeed/mcp-server)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg?style=flat-square)](LICENSE)
[![AFTA Certified](https://img.shields.io/badge/AFTA-Certified-7c3aed?style=flat-square)](https://tensorfeed.ai/agent-fair-trade)
[![HF Dataset](https://img.shields.io/badge/HF-tensorfeed%2Fai--ecosystem--daily-yellow?style=flat-square)](https://huggingface.co/datasets/tensorfeed/ai-ecosystem-daily)

The official [Model Context Protocol](https://modelcontextprotocol.io) server for [TensorFeed.ai](https://tensorfeed.ai). Plugs into Claude Desktop, Claude Code, Cursor, and any MCP-compatible client. Gives your agent real-time AI ecosystem data through 24 sharp tools: free data tools, eight signed verdict decisions with free previews, and premium tools paid per call in USDC on Base.

```jsonc
// claude_desktop_config.json
{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": ["-y", "@tensorfeed/mcp-server"]
    }
  }
}
```

That's it. Restart Claude Desktop and ask: *"What's happening in AI today?"* or *"Is Claude down right now?"*

## Why this exists

Most AI agents have a knowledge cutoff in the past. This MCP server gives them a window into:

- **What's broken right now** in the AI stack (Anthropic, OpenAI, Google, Mistral, others)
- **What's new in the last 24 hours** across 36+ news sources
- **Current model pricing** across every major provider
- **Live AI bot traffic** to a real production site (who's crawling, who's buying tokens)
- **Smart model routing** ("which model is best for THIS task right now")
- **Cost projection** before you commit to a workload
- **Webhook watches** that fire when a price changes or a service drops

The premium tools are paid per call in USDC on Base. No subscription, no signup, no API key emails. Buy a few credits, get a bearer token, agent uses it. The whole thing is [Agent Fair-Trade Agreement](https://tensorfeed.ai/agent-fair-trade) certified: code-enforced no-charge on errors, breaker, schema-fail, and stale data; Ed25519-signed receipts on every paid call.

## Hosted remote endpoint (no install)

Prefer not to run a local process? The same TensorFeed data is served from a hosted Streamable HTTP MCP endpoint with a curated 33-tool subset (31 free + 2 premium), and its premium tools are payable per call with nothing but a funded USDC wallet: no account, no signup, no API key.

| Surface | URL |
| --- | --- |
| Canonical endpoint | `https://mcp.tensorfeed.ai/mcp` |
| Same endpoint, legacy path | `https://tensorfeed.ai/api/mcp` |
| Strict x402 transport (for auto-pay wrappers) | `https://mcp.tensorfeed.ai/mcp?x402=strict` |

```jsonc
// Any MCP client with an HTTP transport
{
  "mcpServers": {
    "tensorfeed": { "type": "http", "url": "https://mcp.tensorfeed.ai/mcp" }
  }
}
```

`GET` the endpoint for machine-readable discovery info. `POST` a JSON-RPC 2.0 envelope for `initialize`, `tools/list`, `tools/call`, and `ping`. The hosted catalog leans broader than this stdio package (SEC EDGAR full-text search, openFDA, EIA energy data, USGS earthquakes, NWS weather alerts, AI papers, agent-ecosystem scans).

**Paying hosted premium tools with a wallet (x402):** `route_verdict` (the signed model-routing decision) and `whats_new` (the full AFTA-signed morning brief) cost 1 credit ($0.02 in USDC, Base or Solana) per call. Call the tool unpaid to receive the canonical x402 payment requirements (the `accepts` array), sign, and retry with the base64 payload in the `payment` argument, or send it as an `X-PAYMENT` header. x402 auto-pay client wrappers should use the strict URL: unpaid premium calls there return a real HTTP 402 with a `PAYMENT-REQUIRED` header, and settled responses carry a `PAYMENT-RESPONSE` header plus the AFTA-signed receipt. Bearer credits tokens work on the hosted endpoint too. No USDC yet? Free trial credits via a wallet signature at `https://tensorfeed.ai/api/payment/trial-credits`.

## Free tools

No token required for the data tools; the three account utilities are free but scoped to your token.

| Tool | Description |
|------|-------------|
| `get_ai_news` | Latest AI news from 15+ sources (Anthropic, OpenAI, Google, TechCrunch, arXiv, more) in one feed |
| `find_tensorfeed_data` | Discovery tool: describe a data need in plain language, get the best matching TensorFeed endpoints |
| `get_ai_status` | Real time operational status of major AI services (Claude, OpenAI, Gemini, Mistral, Cohere, more) |
| `is_service_down` | Check whether one named AI service is operational, degraded, or down, with component detail |
| `get_model_pricing` | Cross provider AI model pricing: input/output price per 1M tokens, context window, release date |
| `account_status` | Your token's credit balance plus recent per endpoint usage (requires token, free) |
| `list_watches` | List the active webhook watches owned by your token (requires token, free) |
| `delete_watch` | Delete one of your webhook watches by id (requires token, free) |

The rest of TensorFeed's 100+ endpoints stay reachable through `find_tensorfeed_data`, which returns the matching endpoint URLs your agent can call over plain HTTP.

## Premium and tiered tools

Set `TENSORFEED_TOKEN` to enable paid calls. Two pricing mechanics, both visible in each tool's own description:

- The **eight verdict tools** take a `tier` parameter: `tier="preview"` (default) is free at 10 calls per IP per day, `tier="full"` costs 1 credit ($0.02) and adds the full ranking plus an AFTA-signed receipt.
- The **series tools** take a `days` parameter: days 1 to 7 are free, days 8 to 90 are paid.

| Tool | Cost | Description |
|------|------|-------------|
| `route_verdict` | Preview free, full 1 credit | Signed best fit model decision fusing pricing, benchmarks, usage, latency, and incident state |
| `provider_reliability_verdict` | Preview free, full 1 credit | Signed ruling on the most dependable and riskiest AI provider from TensorFeed's own latency probes |
| `x402_settlement_verdict` | Preview free, full 1 credit | Signed verdict on x402 USDC settlement market momentum and concentration on Base |
| `x402_publisher_verdict` | Preview free, full 1 credit | Signed trust verdict on one x402 publisher domain's settlement activity |
| `stack_safety_verdict` | Preview free, full 1 credit | Deploy gate (BLOCK/HOLD/PASS/UNKNOWN) for an AI software stack against CVEs and CISA KEV |
| `benchmark_trust_verdict` | Preview free, full 1 credit | Signed ruling on whether an AI benchmark is still trustworthy or saturated/contaminated |
| `failover_verdict` | Preview free, full 1 credit | Signed ruling on the best operational provider to fail over to when one is degraded |
| `ssvc_verdict` | Preview free, full 1 credit | Signed SSVC patch urgency decision for one CVE using the CISA SSVC decision tree |
| `pricing_series` | Days 1-7 free, 8-90 1 credit | Daily price points for one AI model over a window, with min/max/delta summary |
| `benchmark_series` | Days 1-7 free, 8-90 1 credit | Daily benchmark scores for one model and benchmark over a window |
| `status_uptime` | Days 1-7 free, 8-90 1 credit | Daily uptime rollup for one provider with operational/degraded/down day counts |
| `status_leaderboard` | Days 1-7 free, 8-90 3 credits | Cross provider uptime leaderboard ranked by uptime percent, from minute resolution counters |
| `whats_new` | 1 credit | Everything that changed in AI recently: pricing moves, new models, incidents, top news |
| `compare_models` | 1 credit | Side by side pricing, benchmarks, status, and news for 2 to 5 models with rankings |
| `provider_deepdive` | 3 credits, strict premium | Everything about one AI provider: status, every model priced and benchmarked, news, traffic |
| `create_watch` | 1 credit at registration | Register a webhook watch for a price change, status transition, digest, or rank threshold |

Buy credits in USDC on Base at [tensorfeed.ai/developers/agent-payments](https://tensorfeed.ai/developers/agent-payments). Volume tiers: 10% off at $5, 25% off at $30, 40% off at $200. First payment from a new wallet gets a 50-credit welcome bonus.

```jsonc
// claude_desktop_config.json — premium config
{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": ["-y", "@tensorfeed/mcp-server"],
      "env": {
        "TENSORFEED_TOKEN": "tf_live_..."
      }
    }
  }
}
```

## Setup with other MCP clients

The same `command` + `args` + `env` block works in Claude Code, Cursor, Continue, Cline, Zed, and Goose. Anywhere that takes a stdio MCP server config, this drops in.

Run standalone for testing:

```bash
npx @tensorfeed/mcp-server
# with premium tools enabled:
TENSORFEED_TOKEN=tf_live_... npx @tensorfeed/mcp-server
```

## Example queries

Free tier:

- "What's happening in AI today?"
- "Is Claude down right now?"
- "Compare pricing between Claude Opus and GPT-4o"
- "What's the latency on Anthropic's API right now?"
- "Which AI bots are most active on the web today?"

Premium tier (with `TENSORFEED_TOKEN` set):

- "Recommend the cheapest AI model for code generation under $5 per million tokens"
- "Show the price history of Claude Opus 4.7 over the last 30 days"
- "What's Anthropic's uptime this month?"
- "Project monthly cost if we send 10M input + 2M output tokens/day to Claude Sonnet 4.6"
- "Set up a webhook to fire when GPT-5 pricing changes"
- "Give me a morning brief on what changed in AI in the last 24 hours"

## Agent Fair-Trade Agreement

This server speaks AFTA. Every paid call:

- Returns no charge on 5xx, circuit breaker trip, schema validation failure, or stale data (older than the endpoint's publishe

Lo que la gente pregunta sobre tensorfeed-mcp

¿Qué es RipperMercs/tensorfeed-mcp?

+

RipperMercs/tensorfeed-mcp es mcp servers para el ecosistema de Claude AI. MCP server for TensorFeed.ai - real-time AI news, model pricing, status, MCP registry growth, latency probes, and 14 premium endpoints (routing, cost projection, news search, webhook watches, etc) paid in USDC on Base. Free tier and paid tier in one server. Tiene 1 estrellas en GitHub y su última actualización registrada es del 2026-10-19.

¿Cómo se instala tensorfeed-mcp?

+

Puedes instalar tensorfeed-mcp clonando el repositorio (https://github.com/RipperMercs/tensorfeed-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar RipperMercs/tensorfeed-mcp?

+

Nuestro agente de seguridad ha analizado RipperMercs/tensorfeed-mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene RipperMercs/tensorfeed-mcp?

+

RipperMercs/tensorfeed-mcp es mantenido por RipperMercs. La última actividad registrada en GitHub es del 2026-10-19, con 1 issues abiertos.

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+

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