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.
That's it. Restart Claude Desktop and ask: "What's happening in AI today?" or "Is Claude down right now?"
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.
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 |
// 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.
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.
Set TENSORFEED_TOKEN to enable paid calls. Two pricing mechanics, both visible in each tool's own description:
- The eight verdict tools take a
tierparameter: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
daysparameter: 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. 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_..."
}
}
}
}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-serverFree 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"
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.
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.
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.
If this server is useful to you, a star helps other agent builders find it. Thank you.
- 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
MIT. Built by TensorFeed.ai.