TensorFeed
Überblick
Beschreibung vom Entwickler (englisches Original)
AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.
Die drei Säulen von PopNx MCP
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
- Stimmen der NutzeriNoch keine BewertungenBewertungen starten in einem späteren Schritt zusammen mit Benutzerkonten
- Unsere Basischecksi3 von 3 bestandenAnhand öffentlicher Informationen geprüft; Code noch nicht gescannt
- NutzungiGanz neu↓ 199/Wo. · ★ –
Was du damit machen kannst
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
- Verbindung: Computer oder Cloud
- Transport: stdio, Streamable HTTP
- Kategorie: Suche & KI-Gedächtnis
- Das musst du eintragen: TENSORFEED_TOKEN
Installation
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Bevor du installierst
- Basischecks: 3 von 3 bestanden
- Läuft auf dem Server des Entwicklers: Was du fragst, läuft über dessen Server.
- Kann 30 Dinge (Tools) find_tensorfeed_data, get_news_articles, get_status_summary, get_models …
- Das trägst du selbst ein:
TENSORFEED_TOKEN
Als geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
- Läuft in der CloudNichts zu installieren; die Verbindung läuft übers Internet
- npmNode.js installiert (für den Befehl npx)
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
- Öffne Settings → Connectors
- Tippe auf Add custom connector
- Füge die Adresse unten ein und tippe auf Add
- Wenn eine Anmeldung verlangt wird, melde dich beim Dienst des Entwicklers an
https://mcp.tensorfeed.ai/mcpOder führ ihn auf deinem Computer aus
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"tensorfeed": {
"command": "npx",
"args": [
"-y",
"@tensorfeed/mcp-server"
],
"env": {
"TENSORFEED_TOKEN": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http tensorfeed https://mcp.tensorfeed.ai/mcpOder führ ihn auf deinem Computer aus
claude mcp add tensorfeed --env TENSORFEED_TOKEN=your-value -- npx -y @tensorfeed/mcp-serverTrag die leeren Werte ein, bevor du ihn startest.
Oder kopier die Einstellungen selbst
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"tensorfeed": {
"url": "https://mcp.tensorfeed.ai/mcp"
}
}
}Oder führ ihn auf deinem Computer aus
Oder kopier die Einstellungen selbst
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"tensorfeed": {
"command": "npx",
"args": [
"-y",
"@tensorfeed/mcp-server"
],
"env": {
"TENSORFEED_TOKEN": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Oder kopier die Einstellungen selbst
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"tensorfeed": {
"type": "http",
"url": "https://mcp.tensorfeed.ai/mcp"
}
}
}Oder führ ihn auf deinem Computer aus
Oder kopier die Einstellungen selbst
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"tensorfeed": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@tensorfeed/mcp-server"
],
"env": {
"TENSORFEED_TOKEN": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
- Öffne ChatGPT im Web → Settings → Connectors (Apps)
- Tippe auf Create oder Add (bei manchen Tarifen musst du zuerst Developer mode unter Advanced einschalten)
- Füge die Adresse unten ein, gib ihr einen Namen und speichere
- Wenn eine Anmeldung verlangt wird, melde dich beim Dienst des Entwicklers an
https://mcp.tensorfeed.ai/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Werte, die du selbst einträgst
- Bearer token from /api/payment/buy-credits. Required for paid tiers (full verdicts, 8 to 90 day series, webhook watches, account status). Free tiers (news, status, pricing, verdict previews, 1 to 7 d…
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Was er kann
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 7. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
find_tensorfeed_dataDiscover which TensorFeed endpoint answers a data need. Describe what you want in plain language (e.g. "trending AI papers", "is OpenAI down", "model price history") and this returns the 2 to 3 best-matching TensorFeed endpoints, each with its HTTP path, what it returns, and whet
get_news_articlesGet the latest AI news articles aggregated from 12+ sources (Anthropic, OpenAI, Google, HuggingFace, TechCrunch, The Verge, Hacker News, etc). Polled every 10 min, deduplicated, sanitized for prompt injection. Returns up to 200 articles with title, snippet, source, and publishedA
get_status_summaryGet the live operational status of every major AI service tracked by TensorFeed (Claude, ChatGPT, Gemini, Perplexity, Cohere, Mistral, HuggingFace, Replicate, Midjourney, etc). Polled every 2 min. Returns operational | degraded | down | unknown per service, with the time each was
get_modelsGet the model pricing and specs catalog across providers (Anthropic, OpenAI, Google, Meta, Mistral, Cohere, etc). Includes per-token pricing, context windows, capabilities, deprecation flags. Refreshed daily.
get_cve_recordLook up a single CVE Record v5.2 from the MITRE CVE List by ID (e.g. CVE-2024-3094). Lazy-fetched and cached 7 days. License: MITRE CVE Terms of Use, commercial redistribution permitted; the response includes the standard attribution block.
get_kev_catalogGet the CISA Known Exploited Vulnerabilities (KEV) catalog. Returns the most recent N entries plus catalog metadata. Refreshed daily at 06:30 UTC. License: US Government public domain. ~1500 actively-exploited CVEs.
get_epss_scoreGet the EPSS (Exploit Prediction Scoring System) probability for one CVE, sourced from FIRST.org. Returns the daily probability (0-1) that the CVE will be exploited in the next 30 days plus a percentile rank. License: FIRST.org free-for-any-use.
get_osv_advisory_for_packageCross-ecosystem vulnerability advisory lookup via OSV.dev. Given an ecosystem (PyPI, npm, Go, crates.io, Maven, NuGet, RubyGems, Packagist, etc) and a package name (optional version), returns advisories affecting that package. License: Apache 2.0.
check_ai_supply_chain_riskCheck the TensorFeed AI/MCP/LLM supply-chain IOC feed. Returns publicly-disclosed malicious npm/PyPI packages whose name or summary signals relevance to AI agent operators. With no args, returns the whole snapshot (typically a small number of entries). With "package_name", return
check_agent_reputationLook up an agent's public reputation card from the TensorFeed Agent Reputation Bureau. Takes a wallet (0x + 40 hex) OR a token_prefix (first 16 chars of a tf_live_ bearer). Returns the full ReputationCard: composite + sub-metric ranks (reliability, spend, activity, streak), trust
submit_wantlist_itemSubmit a wantlist entry telling TensorFeed what data you wish was served. Aggregated patterns inform TF's pipeline priorities. Anonymous by default, no PII collected, items expire after 30 days. Per-IP rate limit 5 submissions per 24h. Signal collector, not a contract.
register_free_watchRegister a free webhook subscription. TensorFeed POSTs HMAC-signed deliveries to your callback_url when the watch spec fires (price drop, status change, leaderboard rank shift, macro indicator threshold crossing, etc). 5 watches per IP, 25 fires per watch, 30-day TTL. Same delive
search_sec_edgarLucene-style full-text search across the entire SEC EDGAR public-filings corpus since the 1990s. Forms include 10-K (annual), 10-Q (quarterly), 8-K (current event), DEF 14A (proxy), S-1 (IPO), 13F (institutional holdings), and ~70+ others. License: US Government public domain. Th
get_research_papersGet recent AI/ML research papers from one of three feeds, chosen with the source argument. arxiv_recent is the firehose: newest arXiv submissions in cs.AI / cs.LG / cs.CL / cs.CV by submission date, refreshed daily at 11:30 UTC. trending is citation-ranked from Semantic Scholar a
get_agent_opportunitiesGet TensorFeed's daily scan of new repositories across the AI agent ecosystem (Anthropic, OpenAI, Microsoft, ModelContextProtocol, HuggingFace, LangChain, frontier labs) plus recent MCP/x402/skills keyword sweeps. Each opportunity includes the GitHub repo path, description, stars
route_verdictTensorFeed's signed model-routing decision: the single best model for a task or named model, fused from live pricing, contamination-discounted benchmarks, real production usage, measured p95 latency, incident state, and deprecation flags, with the reasoning. tier='preview' is fre
provider_reliability_verdictTensorFeed's signed dependability ruling over its OWN measured latency and availability probes of the frontier AI providers: the single most-dependable provider to build on and the riskiest, scoring availability and tail consistency (p50 over p95) equally because an agent retry l
x402_settlement_verdictTensorFeed's signed ruling on the state of the x402 USDC settlement market on Base, computed over its OWN on-chain settlement index: market momentum versus the prior window of equal length, concentration, and the leading publisher. Covers the publishers TensorFeed indexes on Base
x402_publisher_verdictTensorFeed's signed trust verdict on one x402 publisher, over its OWN on-chain settlement index: whether a named publisher domain is actively settling, recently quiet, registered with no settlement, unreachable, missing a Base payTo, or not indexed. Requires a domain. tier='previ
stack_safety_verdictTensorFeed's deploy gate for an AI software stack: pass each package as comma-separated name@version and get the overall BLOCK / HOLD / PASS / UNKNOWN gate plus a per-package verdict, fusing the ingested AI-stack CVE batch with the CISA KEV catalog. Conservative by design: BLOCK
benchmark_trust_verdictTensorFeed's signed ruling on whether an AI benchmark is still a trustworthy capability signal or saturated, contaminated, or near ceiling so a high score should be down-weighted: a trust band (reliable, use_with_caution, saturated, contaminated, deprecated) and a 0-100 trust sco
failover_verdictProvider A is degraded; TensorFeed's signed ruling on the single best operational provider to fail over to for a task right now. Confirms A against the live incident-triage feed, then runs the route-verdict fusion with A (and any provider already in failover) excluded. Requires f
ssvc_verdictTensorFeed's signed SSVC patch-urgency decision for one CVE, applying the CISA SSVC Coordinator decision tree to the recorded Vulnrichment decision points (exploitation, automatable, technical impact). Requires a CVE id. tier='preview' is free (10 calls per day per IP): the three
pricing_seriesDaily price points for one AI model over a window. days 1 to 7 is free; days 8 to 90 costs 1 credit ($0.02), adding the min/max/delta summary over the longer window. tier='full' uses the paid tier at any window. Pay per call with an x402 wallet payment (arguments.payment, or an X
benchmark_seriesDaily benchmark scores for one model+benchmark over a window. Benchmark keys: swe_bench, mmlu_pro, gpqa_diamond, math, human_eval. days 1 to 7 is free; days 8 to 90 costs 1 credit ($0.02), tracking score evolution over the longer window. tier='full' uses the paid tier at any wind
status_uptimeDaily uptime rollup for one provider over a window with operational/degraded/down day counts and uptime % (degraded counts as half-credit). days 1 to 7 is free; days 8 to 90 costs 1 credit ($0.02), adding per-incident-day detail over the longer window. tier='full' uses the paid t
status_leaderboardCross-provider uptime leaderboard ranked by uptime % DESC, computed from minute-resolution counters (~720 samples per provider per day). days 1 to 7 is free; days 8 to 90 costs 5 credits ($0.10), adding incident_count and mttr_minutes (mean time to recover) per provider over the
whats_newPREMIUM (1 credit, $0.02). The full TensorFeed morning brief: every AI headline in the window with links, model pricing deltas, and incident detail, AFTA-signed. The free preview sibling (/api/preview/whats-new, 10 calls/IP/day) returns only summary counts plus the top 3 headline
compare_modelsPREMIUM (1 credit, $0.02). Pick between models in one call: pricing, benchmarks, status, and recent news for 2 to 5 models side by side, with cheapest-blended and per-benchmark rankings, so you choose without scraping each provider. Pay per call with an x402 wallet payment (argum
provider_deepdivePREMIUM (5 credits, $0.10). Everything about one AI provider in a single call: live status, every model with pricing, tier, and benchmarks joined in, recent news, and agent traffic, replacing about four separate lookups. Strict premium, no free trial. Pay per call with an x402 wa
Basischecksi
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 9. Nov. 2026
- ✓ Bestanden
Entwickler passt zum Repo
Der Registry-Name wurde über die Domain tensorfeed.ai bestätigt (die Registry prüft, wem die Domain gehört)
- … Noch nicht geprüft
Wird noch gepflegt
Dieses Repo haben wir noch nicht von GitHub gelesen
- … Noch nicht geprüft
Hat eine Lizenz
Dieses Repo haben wir noch nicht von GitHub gelesen
- ✓ Bestanden
Endpunkt antwortet
Antwort in 100 ms (HTTP 200)
- – Nicht zutreffend
Anmeldung mit OAuth
Keine Anmeldung nötig
- ✓ Bestanden
Keine versteckten Anweisungen in Tool-Beschreibungen
Wir haben 30 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Im Vergleich mit anderen in Suche & KI-Gedächtnisi
- Mehr Sterne als 0 % der anderen 5747 Server in dieser Kategorie
- Neuer in der Registry veröffentlicht als 79 % der anderen 5747 Server in dieser Kategorie
- Basischecks gleich gut wie oder besser als bei 100 % der anderen 5747 Server in dieser Kategorie
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Häufige Fragen
Ist TensorFeed sicher?
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Welche Schlüssel oder Codes braucht er?
Das musst du eintragen: TENSORFEED_TOKEN
Läuft er auf meinem Computer oder in der Cloud?
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Wird er noch gepflegt?
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.0.6) kam vor 10 Tagen in die Registry.
Welche Apps können ihn nutzen?
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
Was kann ich stattdessen nutzen?
In derselben Kategorie: Context7, Codebase Memory, Exa
Alternativen
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
README vom Entwickler
README öffnen
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
| 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.
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
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_..." } } } }
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.
Star this repo
If this server is useful to you, a star helps other agent builders find it. Thank you.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo