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TensorFeed
ai.tensorfeed/mcp-server in the official MCP registry.
Endpoint https://mcp.tensorfeed.ai/mcp. Source: github.com/RipperMercs/tensorfeed-mcp.
The registry describes it as: AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.
We read its 30 tools on 2026-10-22. Nothing in them matched our tool-poisoning rules. It also sets server instructions, text a client puts in front of the model on connect; those were read too.
A clean read means these rules found nothing, not that the server is harmless. A server can change its tools at any time, which is why the index reads it again every week.
Tools it advertises
find_tensorfeed_data get_news_articles get_status_summary get_models get_cve_record get_kev_catalog get_epss_score get_osv_advisory_for_package check_ai_supply_chain_risk check_agent_reputation submit_wantlist_item register_free_watch search_sec_edgar get_research_papers get_agent_opportunities route_verdict provider_reliability_verdict x402_settlement_verdict x402_publisher_verdict stack_safety_verdict benchmark_trust_verdict failover_verdict ssvc_verdict pricing_series benchmark_series status_uptime status_leaderboard whats_new compare_models provider_deepdive
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[](https://lazaretto.dev/mcp-registry/ai-tensorfeed-mcp-server)How this was checked
Lazaretto connects to the endpoint the way any MCP client does, asks the server to introduce itself and list its tools, and reads every name, description, parameter schema and server instruction for tool poisoning: hidden directive blocks, orders to read local secrets, parameters built to carry secrets or the conversation out, orders that redirect another server's tools, and invisible characters. It never calls a tool. What we found across the registry.
To run the same check every time Claude Code adds a server, install the free lazaretto-guard plugin. Browse every server in the index.