{"uid":"cap_OrZ5ZCTKTTiQfKw7nLY9r","slug":"dicom-imaging-analyzer-mcp-c9e9c23d","name":"DICOM Imaging Analyzer 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/dicom-imaging-analyzer-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.15","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":"$0.15/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.15","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.15","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zfZGFqurjVc7GeX1Y1Jep","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.15","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes DICOM medical imaging data and extracts clinically relevant information from radiology files","exampleAgentPrompt":"Can you analyze this DICOM imaging file and extract the key diagnostic information, scan metadata, and any notable findings from it?","exampleUseCases":[{"title":"Radiology report data extraction","prompt":"I have a DICOM file from a chest CT scan — can you process it and pull out the patient metadata, scan parameters, and any structural findings embedded in the imaging data?"},{"title":"MRI scan metadata review","prompt":"Please analyze this DICOM MRI brain scan data and tell me what imaging modality, acquisition parameters, and slice information are contained in the file."},{"title":"AI diagnostic pipeline preprocessing","prompt":"I'm building a diagnostic pipeline and need you to process this DICOM image file and return the structured imaging data so I can pass it downstream for analysis."}],"resultDescription":"Returns structured analysis of the DICOM imaging data, including extracted metadata, scan parameters, imaging modality details, and any interpreted findings or annotations derived from the medical image.","failureModes":["Invalid or malformed DICOM data string returns an error","Non-DICOM data submitted in the data field causes processing failure","Oversized or binary-encoded data may fail if not properly encoded","Missing required 'data' field results in a validation error"],"whenToPreferThis":"Choose this endpoint when you need to programmatically parse, analyze, or extract structured information from DICOM medical imaging files in an agentic workflow. Prefer it over general-purpose file parsers when the input is specifically a DICOM format radiology scan and you need medically-aware extraction of imaging metadata and diagnostic content.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T19:08:51.513Z","isFirstParty":false}