TensorFeed MCP Server
https://mcp.tensorfeed.ai/mcp
Remote
v1.37.0
Published by mcp.tensorfeed.ai — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
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The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 6 = 94. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 2
high Read-and-egress in one tool: "register_free_watch"MTC-FLOW-003
Tool "register_free_watch" can both read sensitive data and send data to an external destination. Even without an explicit untrusted-input leg, this is a single-call data-exfiltration path if the model is ever manipulated.
Fix: Separate reading from sending; require explicit user confirmation before egress of file/secret contents.
Location: flow register_free_watch
medium Unconstrained URL/host parameter "callback_url" on "register_free_watch"MTC-CAP-007
Tool "register_free_watch" takes a URL/host parameter "callback_url" with no allowlist/pattern. An outbound-request tool with an unbounded destination enables SSRF and cloud-metadata access (e.g. 169.254.169.254).
Fix: Allowlist destinations or constrain the parameter; block private/link-local addresses server-side.
Location: tool register_free_watch · inputSchema.properties.callback_url
Tools 27
Each tool and what it can reach — enumerated from the running server.
register_free_watchnetwork egressreads sensitive datacheck_agent_reputationno sensitive capabilitycheck_ai_supply_chain_riskno sensitive capabilitycheck_free_tier_statusno sensitive capabilityget_agent_opportunitiesno sensitive capabilityget_cve_recordno sensitive capabilityget_eia_seriesno sensitive capabilityget_epss_scoreno sensitive capabilityget_kev_catalogno sensitive capabilityget_modelsno sensitive capability
Show 17 more tools ↓
get_news_articlesno sensitive capabilityget_osv_advisory_by_idno sensitive capabilityget_osv_advisory_for_packageno sensitive capabilityget_recent_earthquakesno sensitive capabilityget_research_papersno sensitive capabilityget_sec_submissionsno sensitive capabilityget_status_summaryno sensitive capabilityget_verified_hireable_statusno sensitive capabilityget_weather_alertsno sensitive capabilitylist_directory_skillsno sensitive capabilitylookup_sec_company_tickerno sensitive capabilityquery_fdano sensitive capabilityroute_verdictno sensitive capabilitysearch_agent_directoryno sensitive capabilitysearch_sec_edgarno sensitive capabilitysubmit_wantlist_itemno sensitive capabilitywhats_newno sensitive capability
Toxic flows 1
Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.37.0 latest |
A 94/100 | 2 | 1.13.0 | 2026-09-05 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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