Server data from the Official MCP Registry
x402 LLM proxy + data-enriched analysis (17 sources) + TimesFM predictive IoT intelligence.
x402 LLM proxy + data-enriched analysis (17 sources) + TimesFM predictive IoT intelligence.
Remote endpoints: streamable-http: https://foundrynet-inference-production.up.railway.app/mcp
Valid MCP server (2 strong, 1 medium validity signals). 1 known CVE in dependencies Imported from the Official MCP Registry.
4 tools verified · Open access · 1 issue found
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-foundrynet-foundrynet-inference": {
"url": "https://foundrynet-inference-production.up.railway.app/mcp"
}
}
}From the project's GitHub README.
x402-gated revenue engine: LLM proxy + data-enriched analysis + predictive (IoT) intelligence.
Standard x402 v2 on Solana mainnet USDC (self-settled, Base-ready). An fnet_ Forge key bypasses.
| Route | Price | What |
|---|---|---|
POST /v1/chat | $0.02 | Claude LLM proxy {model, messages} |
POST /v1/analyze | $0.25 | Data-enriched analysis {query} — Claude plans → queries FoundryNet servers → synthesizes |
POST /v1/predict | $0.10 | TimesFM breach forecast {canonical_field, values, threshold, oem?} + NL rec + MINT attest |
POST /v1/infer | $0.10 | IoT telemetry `{telemetry:{field:value |
Discovery: GET /x402, GET /x402/:route (402 + PAYMENT-REQUIRED header), GET /.well-known/x402.
Note: /v1/predict and /v1/infer forecasts require ≥16 historical points (TimesFM constraint).
Env: ANTHROPIC_API_KEY, FORGE_API_KEY (fnet_), FORGE_BASE_URL, HELIUS_API_KEY,
PAYMENT_RECIPIENT, PAYMENT_USDC_MINT, PUBLIC_URL. Base-ready: set X402_NETWORK +
swap the facilitator in lib/x402.js for CDP/Base.
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