MMCP Server Finder

TensorFeed benchmark report

TensorFeed has a benchmark score of 37/100 based on installability, startup reliability, MCP capability discovery, documentation quality, and safety signals.

Benchmark score

37

Docs score

0

Config score

0

Safety score

0

Benchmark status

Installunknown
Startupunknown
Capability discoverypassed
Last testedJul 27, 2026

Installability

  • npxconfidence: medium
    npx @tensorfeed/mcp-server

Capabilities

Tools: 24Resources: 1Prompts: 0
  • resource

    latest_news

    Latest 20 AI news articles aggregated by TensorFeed.ai. Refreshed every ~10 minutes from 15+ sources (Anthropic, OpenAI, Google, TechCrunch, The Verge, arXiv, and more). Each row carries title, source, URL, snippet, categories, and publication timestamp. JSON payload. Refresh on `resources/read`; no subscription required.

  • tool

    account_status

    Check the configured TensorFeed token: current credit balance plus recent per-endpoint usage (last 100 calls aggregated). Free, but requires TENSORFEED_TOKEN.

  • tool

    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.

  • tool

    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.

  • tool

    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).

  • tool

    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.

  • tool

    delete_watch

    Delete one of your active webhook watches by id. Free, requires TENSORFEED_TOKEN.

  • tool

    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.

  • tool

    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.

  • tool

    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.

  • tool

    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.

  • tool

    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.

  • tool

    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.

  • tool

    list_watches

    List the active webhook watches owned by the configured TensorFeed token. Free, requires TENSORFEED_TOKEN.

  • tool

    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.

  • tool

    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 3 credits ($0.06). Strict premium, no free trial.

  • tool

    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.

  • tool

    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.

  • tool

    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.

  • tool

    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.

Related pages

Frequently asked questions

What does the TensorFeed benchmark score include?

It combines install status, startup status, capability discovery, documentation score, configuration score, and safety score into a 0-100 benchmark_score.

Does MCP Server Finder call TensorFeed tools during discovery?

No. Capability discovery lists tools, resources, and prompts when possible, but does not invoke tools or read sensitive resources.

Why are some checks skipped?

Checks are skipped when they cannot be run safely without credentials, local configuration, or non-destructive execution guarantees.

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