{"uid":"cap_I1El2APc2adaHfeVo-Bst","slug":"coral-tpu-delegate-mcp-3ee0a212","name":"Coral TPU Delegate MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/coral-tpu-delegate-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.3","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.3/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.3","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.3","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_X2RDf7z7YZ4w0k0uRjVss","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.3","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes data through a coral TPU delegate model context protocol endpoint for agentic AI tasks","exampleAgentPrompt":"Process this data payload through the coral TPU delegate MCP endpoint: 'run inference on my feature vector [0.1, 0.4, 0.9, 0.2]' and return the result.","exampleUseCases":[{"title":"TPU-accelerated AI inference task","prompt":"I need to run an inference job on my serialized model input data — can you send it to the coral TPU delegate processor and get back the result? The data is: '{\"features\": [0.12, 0.87, 0.34]}'"},{"title":"Delegating compute to edge TPU","prompt":"Can you delegate this computation payload to the coral TPU MCP endpoint? The input data is a JSON string describing my workload parameters."},{"title":"Model context protocol processing","prompt":"Submit this MCP task data to the coral TPU delegate for processing: 'classify the following token sequence and return logits' — I need the output back as fast as possible."}],"resultDescription":"A processed output from the coral TPU delegate, typically containing the computed or inferred result from the submitted data payload, returned as a response object.","failureModes":["Invalid or missing 'data' field returns a validation error","Malformed input string may cause processing failure","Payment of 0.3 USDC per call required via x402 protocol — insufficient funds returns 402","Service unavailability or timeout if the TPU delegate is overloaded","Unsupported data format may yield empty or error response"],"whenToPreferThis":"Choose this endpoint when you need TPU-accelerated computation or AI inference delegated through the Model Context Protocol (MCP) architecture, particularly when coral TPU hardware acceleration is required for your workload. Prefer this over CPU-based alternatives when latency and throughput for tensor or AI operations are critical.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T06:56:16.222Z","isFirstParty":false,"canonicalSlug":"coral-tpu-delegate-mcp-3ee0a212"}