# RipperMercs/tensorfeed

**Category:** 🔗 Aggregators  
**Repository:** https://github.com/RipperMercs/tensorfeed/tree/main/mcp-server  
**GitHub Stars:** 2  
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**Directory Page:** https://allmcps.com/mcp/rippermercs-tensorfeed

## Description
Real-time AI industry intelligence MCP server. 6 free tools (AI news, service status, model pricing, today summary, agent activity, MCP registry snapshot) and 13 paid premium tools (routing recommendations, news search, history series, cost projection, provider deep-dive, model comparison, agents directory, what's new brief, MCP registry series, webhook watches with daily/weekly digest tier). Pay-per-call in USDC on Base mainnet, no accounts. npx -y @tensorfeed/mcp-server

## Tools
Capabilities this server exposes over MCP:

- **get_ai_news** — Get the latest AI news from TensorFeed.ai as a ranked list with title, source, URL, snippet, and publish time, filterable by category (e.g. "anthropic", "openai", "research", "tools"). Aggregates 15+ sources (Anthropic, OpenAI, Google, TechCrunch, The Verge, arXiv, and more) into one normalized feed, so an agent reads one schema instead of polling each outlet. Free, no auth.
- **find_tensorfeed_data** — Discover 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 whether it is free or paid. TensorFeed exposes 100+ AI-ecosystem data and signed-verdict endpoints; the core ones are also dedicated tools, but the full catalog is reachable here and callable over HTTP (paid ones via x402 or a credits token). Free, no auth. Use this first when no dedicated tool obviously fits.
- **get_ai_status** — Get the real-time operational status of major AI services (Claude, OpenAI, Gemini, Mistral, Cohere, Replicate, Hugging Face), including per-component breakdowns and an operational/degraded/down rollup per provider. One cross-provider status call instead of checking each vendor's status page, useful before an agent routes a request to a model that may be impaired. Free, no auth.
- **is_service_down** — Check whether one named AI service (e.g. "claude", "openai", "gemini", "mistral", "cohere", "hugging face", "replicate") is currently operational, degraded, or down, with its component-level breakdown. Matches on service or provider name and lists available services if there is no match, so an agent can gate a call on live status before sending traffic. Free, no auth.
- **get_model_pricing** — Get AI model pricing across major providers (Anthropic, OpenAI, Google, Meta, Mistral, Cohere) in one normalized table: input and output price per 1M tokens, context window, and release date per model. One cross-provider comparison instead of scraping six pricing pages, so an agent can pick the cheapest model that fits its context and budget. Free, no auth.
- **account_status** — Check the configured TensorFeed token: current credit balance plus recent per-endpoint usage (last 100 calls aggregated). Free, but requires TENSORFEED_TOKEN.
- **route_verdict** — TensorFeed'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' (default) is free (10 calls per day per IP), top verdict only. tier='full' costs 1 credit ($0.02), adds ranked runners-up, constraint filters, and an AFTA-signed receipt you can audit, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **provider_reliability_verdict** — TensorFeed'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 loop feels the tail, not the median. tier='preview' (default) is free (10 calls per day per IP), top verdict only. tier='full' costs 1 credit ($0.02), adds the full per-provider ranking with measured availability and p50/p95/p99 and tail spread plus an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **x402_settlement_verdict** — TensorFeed'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, forward-only from launch. tier='preview' (default) is free (10 calls per day per IP), headline verdict only. tier='full' costs 1 credit ($0.02), adds the full per-publisher ranking with volume share, ecosystem totals, the Herfindahl concentration index, an optional window, and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **x402_publisher_verdict** — TensorFeed'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='preview' (default) is free (10 calls per day per IP), the trust verdict only. tier='full' costs 1 credit ($0.02), adds the 30-day settlement momentum, the shared-wallet risk flag, the settlement evidence (volume, count, last settled), and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **stack_safety_verdict** — TensorFeed'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 only on an exploited CVE with no fix, HOLD when a known CVE applies and you must verify your version, PASS on no match, UNKNOWN outside the curated AI-stack cohort. tier='preview' (default) is free (10 calls per day per IP), caps at 3 packages, gate plus worst offender. tier='full' costs 1 credit ($0.02), raises the cap to 10 packages, adds the matched-CVE evidence (ids, affected ranges, fixed versions, KEV status) and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **benchmark_trust_verdict** — TensorFeed'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 score per benchmark. Pass benchmark to narrow to one, or category to filter, or neither for the registry. tier='preview' (default) is free (10 calls per day per IP), top verdict and bands only. tier='full' costs 1 credit ($0.02), adds the per-signal detail (ceiling proximity, frontier compression, contamination), a down-weight recommendation with an alternative benchmark, and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **failover_verdict** — Provider 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 from. tier='preview' (default) is free (10 calls per day per IP), the failover target only. tier='full' costs 1 credit ($0.02), adds the full candidate (pricing, measured p95 latency, quality), the ranked alternatives, the confirmed incident on A, and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **ssvc_verdict** — TensorFeed'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' (default) is free (10 calls per day per IP): the three decision points and the decision-tree provenance, WITHOUT the computed Act / Attend / Track / Track* decision. tier='full' costs 1 credit ($0.02), adds the computed decision across the full low/medium/high Mission and Well-being envelope, the per-level reasoning, a live CISA KEV cross-check, and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.
- **pricing_series** — Daily price points for one AI model over a window. days 1 to 7 is free; days 8 to 90 costs 1 credit ($0.02) and needs a TENSORFEED_TOKEN, adding the min/max/delta summary over the longer window. Get credits at tensorfeed.ai/developers/agent-payments.
- **benchmark_series** — Daily 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) and needs a TENSORFEED_TOKEN, tracking score evolution over the longer window. Get credits at tensorfeed.ai/developers/agent-payments.
- **status_uptime** — Daily 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) and needs a TENSORFEED_TOKEN, adding per-incident-day detail over the longer window. Get credits at tensorfeed.ai/developers/agent-payments.
- **status_leaderboard** — Cross-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) and needs a TENSORFEED_TOKEN, adding incident_count and mttr_minutes (mean time to recover) per provider over the longer window. Get credits at tensorfeed.ai/developers/agent-payments.
- **whats_new** — Catch up on everything that changed in AI in one call: pricing moves, new and removed models, status incidents, and top news from the last 1 to 7 days, so your agent boots with current context instead of stale assumptions. Costs 1 credit ($0.02).
- **compare_models** — 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. Costs 1 credit ($0.02).
- **provider_deepdive** — 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. Costs 5 credits ($0.10). Strict premium, no free trial.
- **list_watches** — List the active webhook watches owned by the configured TensorFeed token. Free, requires TENSORFEED_TOKEN.
- **create_watch** — Register a webhook watch. type selects what to watch: "price" (a model price change), "status" (a service status transition), "digest" (a scheduled daily or weekly pricing summary), or "leaderboard_rank" (a provider crossing an uptime-rank threshold). Costs 1 credit ($0.02) at registration; the watch lives 90 days and each fire is an HMAC-signed POST to callback_url. Needs a TENSORFEED_TOKEN.
- **delete_watch** — Delete one of your active webhook watches by id. Free, requires TENSORFEED_TOKEN.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

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

## Documentation

## What RipperMercs/tensorfeed MCP server does

RipperMercs/tensorfeed exposes AI industry intelligence through the Model Context Protocol. Its free tool set covers six recurring information needs: AI news, service status, model pricing, a summary for the current day, agent activity, and a snapshot of the MCP registry.

The server also includes 13 premium tools for deeper analysis and monitoring. These capabilities include routing recommendations, news search, historical data series, cost projections, provider deep-dives, model comparisons, an agents directory, a “what’s new” brief, MCP registry series, and webhook watches. Webhook watches include daily and weekly digest tiers.

## How it works

An MCP client connects to the Tensorfeed server and invokes the available tools as needed. Free tools provide the baseline intelligence set. Premium tools use a pay-per-call model, with payment made in USDC on Base mainnet. The service is accountless, so access does not depend on creating or maintaining a user account.

The tool grouping suits both point-in-time questions and ongoing monitoring. An agent can request a current status or pricing result, use search and comparison functions for research, or draw on series and digest features for changes over time.

## Setup and configuration

Run the published package with npx:

```bash
npx -y @tensorfeed/mcp-server
```

Premium calls require USDC payment on Base mainnet. No account is required to use the service. The package command is the documented launch method, and no environment variables are needed for the basic setup described here.

## Tools and capabilities

The six free tools cover:

- AI industry news
- AI service status
- Model pricing
- A summary of today’s developments
- Agent activity
- An MCP registry snapshot

Premium capabilities cover routing recommendations, news search, historical series, cost projection, provider deep-dives, model comparison, an agents directory, new-developments briefs, MCP registry series, and webhook watches with daily or weekly digest options.

## Limitations and notes

Premium functionality is billed per call rather than through an account subscription. Payments use USDC on Base mainnet, so a setup using premium tools must support that payment network and asset. The free and paid capabilities are distinct, making the server suitable for basic intelligence queries without payment as well as workflows that need deeper analysis or recurring digests.

_Full upstream README: https://allmcps.com/mcp/rippermercs-tensorfeed/readme_