{"uid":"cap_uCP5v9OebG-no-0nxIiyj","slug":"gdpr-pii-scrubber-mcp-8a02fd36","name":"GDPR PII Scrubber 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/gdpr-pii-scrubber-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":"0.3","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_RPm9qLBwb2vQd2d6qKCRa","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":"Scrubs personally identifiable information (PII) from text to comply with GDPR regulations","exampleAgentPrompt":"Can you scrub all personal information like names, emails, phone numbers, and addresses from this text so it's GDPR compliant before I store it: 'John Smith called us from john.smith@email.com at +44 7911 123456, living at 12 Baker Street, London'?","exampleUseCases":[{"title":"Anonymize customer support logs","prompt":"I need to remove all personal details — names, emails, phone numbers — from these customer support transcripts before I archive them: 'Customer Jane Doe (jane.doe@company.com, 07700 900123) reported an issue on 3rd April.'"},{"title":"GDPR-safe data sharing with partners","prompt":"Before I send this dataset excerpt to our analytics partner, can you strip out any PII so we stay GDPR compliant? Here's the text: 'User: Michael Brown, DOB: 15/06/1985, Address: 45 Grove Lane, Manchester, Email: m.brown@mail.com.'"},{"title":"Sanitize AI training data","prompt":"I'm building a training dataset and need all personally identifiable information removed from these sample records — please scrub names, locations, and contact details from: 'Sarah Connor, sarah.c@domain.net, residing at 9 Oak Avenue, Bristol, called on 020 7946 0958.'"}],"resultDescription":"Returns the input text with all detected PII (names, email addresses, phone numbers, postal addresses, dates of birth, and other personal identifiers) replaced or removed, yielding an anonymized, GDPR-safe version of the original content.","failureModes":["Empty or missing 'data' field returns an error","Extremely long text may exceed processing limits","Ambiguous context may cause false positives (legitimate non-PII removed) or false negatives (PII missed)","Non-UTF-8 encoded text may cause parsing errors","Payment failure via x402 prevents processing"],"whenToPreferThis":"Choose this endpoint when you need automated, on-the-fly GDPR PII scrubbing of arbitrary text strings without building your own regex pipeline. It is particularly useful when processing user-generated content, logs, or documents that must be anonymized before storage or sharing. Prefer this over manual redaction when speed and consistency matter across large volumes of text.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:45:50.088Z","isFirstParty":false}