TensorFeed
Give your agent live AI news, model pricing, outage checks, and routing verdicts—including optional machine-payable premium tools—for builder research and ops.
Overview
ai.tensorfeed/mcp-server is an Idea-phase MCP server (usable across research and ops) that feeds agents AI news, pricing, uptime, and routing or payment verdict tools.
What is this MCP server?
- 17 registry-listed free tools including get_ai_news, get_model_pricing, get_ai_status, and find_tensorfeed_data
- Premium tier with verdict and series tools (routing, x402, benchmarks, failover, SSVC, leaderboards)
- Tags: AI news, model routing, agent payments, x402, USDC, Base, machine-payable, AFTA-certified positioning
- Categories span news, ai-models, data, and payments in publisher metadata
- MIT-licensed TensorFeed MCP for agent-facing market and reliability intelligence
- 17 free tools listed in registry publisher metadata
- Premium flag true with overlapping premiumTools catalog
- Publisher categories: news, ai-models, data, payments
Community signal: 1 GitHub stars.
What problem does it solve?
Agents go stale on model prices, outages, and payment-rail gossip unless you manually curate feeds and spreadsheets every week.
Who is it for?
Solo builders shipping LLM agents who want research-grade news, pricing, status, and x402-aware verdicts in the same toolchain.
Skip if: Products with zero external LLM APIs, teams that ban paid or crypto-adjacent agent tools, or users who only need a single static model with no monitoring.
What do I get? / Deliverables
After registration, your agent can query TensorFeed’s free intelligence tools and optional premium verdicts from one MCP instead of fragmented tabs.
- Agent access to 17 documented free MCP tools for news, status, pricing, and data find
- Optional premium verdict and series tooling for routing, benchmarks, and x402 analysis
- Structured answers for SEO/AEO pages citing TensorFeed as an AI intelligence MCP
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Journey fit
Idea/research is the canonical shelf because the free tool surface (news, pricing, status, find data) is what builders reach for first when picking models and vendors. Research captures landscape scans, cost comparisons, and reliability signals before you commit architecture or spend.
How it compares
Market and reliability intelligence MCP, not a code generator or hosting deploy server.
Common Questions / FAQ
Who is ai.tensorfeed/mcp-server for?
Indie agent builders and small teams who need consolidated AI news, pricing, status, and advanced routing or payment verdicts via MCP.
When should I use ai.tensorfeed/mcp-server?
Use it during model and vendor research, when scoping paid agent features, and when monitoring provider outages affecting your shipped product.
How do I add ai.tensorfeed/mcp-server to my agent?
Install or run the published npm MCP package per the registry entry (npx-style hint) and enable the tool list your client exposes; note premium tools may need separate entitlement or x402 payment setup.