Add TensorFeed (Specialised Dataset, Open auth)#312
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TensorFeed is a remote MCP server providing AI ecosystem data: news from 100+ AI sources, model pricing across labs, AI service status (OpenAI/Anthropic/Google/etc.), security advisories (MITRE CVE / CISA KEV / FIRST.org EPSS / OSV), SEC EDGAR filings, FDA regulatory data (drug events, recalls, device events), and US energy indicators (FRED, EIA, BLS). - Server URL: https://tensorfeed.ai/api/mcp - Transport: streamable HTTP - Auth: Open (17 free tools, no key required); paid endpoints use x402 V2 micropayments separately and are not exposed via the MCP surface - Listed in the canonical MCP registry as ai.tensorfeed/mcp-server - Underlying data is mostly US Government public domain or CC0; commercial redistribution permitted with attribution preserved
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Server
Name: TensorFeed
Category: Specialised Dataset
URL:
https://tensorfeed.ai/api/mcpAuth: Open
Maintainer: TensorFeed
What it does
A single remote MCP server providing aggregated, attributed AI ecosystem data across multiple domains via 17 free tools. Built for the case where an agent needs cross-domain context (security, news, model pricing, regulatory data) without wiring N parallel API integrations.
Tools include:
get_cve_record,get_kev_catalog,get_epss_score,query_osv_vulnerabilities(security advisories from MITRE/CISA/FIRST.org/OSV);get_news_articles(100+ AI sources);get_models(cross-lab pricing);get_status_summary(OpenAI/Anthropic/Google/etc.);search_sec_edgar(SEC filings);query_fda_drug_recalls,query_fda_drug_labels,query_fda_device_events,query_fda_food_recalls,query_fda_drug_events(FDA regulatory data); plus US energy/economy indicators via FRED, EIA, BLS.Why it meets the quality criteria
ai.tensorfeed/mcp-server, included in the Anthropic financial-services and life-sciences marketplaces, on Hugging Face astensorfeed/ai-ecosystem-daily, and shipped with skill packages inanthropics/skills(PR #1114) andopenai/skills(PR #405).Production usage examples
get_cve_record+get_kev_catalog+get_epss_scoreand returns aconfirmed_bylist): see the Anthropic claude-cookbook example and the OpenAI cookbook example.Notes