Tensorfeed MCP Server

TensorFeed MCP Server

The official Model Context Protocol server for 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.

// 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 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.

// 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.

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.

Buy credits in USDC on Base at 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.

// 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:

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 published SLA)
• Returns an Ed25519-signed receipt your agent can verify against the public key at tensorfeed.ai/.well-known/tensorfeed-receipt-key.json
• Logs the no-charge event to a public ledger at /api/payment/no-charge-stats
• Honors a 100-call/min burn-rate breaker so a bug in your loop can't drain the wallet

The full standard is at tensorfeed.ai/agent-fair-trade. Manifest at /.well-known/agent-fair-trade.json.

Refunds, sanctions, terms

All credit purchases are final per Section 17.5 of the Terms. Credits do not expire and are jointly redeemable on tensorfeed.ai and terminalfeed.io, so the safe pattern is to buy small ($1 USDC for 50 credits) and top up as call volume is calibrated. Premium access is unavailable in OFAC-sanctioned jurisdictions per Section 17.9.

Data source

All data comes from the TensorFeed.ai API, which aggregates 42 feeds across the AI ecosystem (news, pricing, benchmarks, status, GPU pricing, MCP registry growth, latency probes, agent traffic, AFTA adopters, training datasets, embodied AI, hardware, and more). A daily JSONL snapshot of the full corpus is published to Hugging Face at tensorfeed/ai-ecosystem-daily under an inference-only license.

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Links

• TensorFeed.ai: https://tensorfeed.ai
• API reference: https://tensorfeed.ai/developers
• Premium / payments: https://tensorfeed.ai/developers/agent-payments
• AFTA standard: https://tensorfeed.ai/agent-fair-trade
• Hugging Face dataset: https://huggingface.co/datasets/tensorfeed/ai-ecosystem-daily
• npm package: https://www.npmjs.com/package/@tensorfeed/mcp-server
• Companion package, on-chain x402 verifier: https://www.npmjs.com/package/@tensorfeed/x402-base-mcp
• MCP registry: https://registry.modelcontextprotocol.io/v0/servers/ai.tensorfeed/mcp-server
• Sister site (real-time data dashboard): https://terminalfeed.io
• Issues / feature requests: https://github.com/RipperMercs/tensorfeed-mcp/issues

License

MIT. Built by TensorFeed.ai.