PrepLayer.ai
by FastDrop
Deterministic text prep for agents. Pay per call via x402 USDC.
Deterministic text prep for agents. Pay per call via x402 USDC. Official MCP Registry: com.maximusmediahouse/preplayer@0.2.0. Remote endpoint: https://preplayer.maximus-boomerus.workers.dev/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as com.maximusmediahouse/preplayer and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
Claim this listingTools this endpoint exposes
Read directly from the endpoint on 27 Oct 2026. Not supplied by the maker.
normalizeDeterministic text normalization: Unicode NFKC, zero-width/bidi stripping, smart-quote and dash folding, whitespace collapse, case folding. Returns a stable content hash so two texts can be compared f
validateValidate and canonicalize one identifier: email, URL, E.164 phone, IBAN (mod-97), payment card (Luhn), UUID, SHA-256, git SHA, EVM address (EIP-55) or domain. Returns {valid, canonical, fingerprint}.
extractExtract structured fields from unstructured text with byte offsets and normalized values: emails, URLs, IPv4, phones, money amounts, ISO dates, UUIDs, EVM addresses, SKUs, semver. $0.005 USDC per succ
redactRedact PII from text before it is stored or logged. Returns redacted text plus exact byte spans and counts per class: credit_card, iban, email, private_key, evm_address, phone, ipv4, url. $0.005 USDC
classifyRule-based multi-label text classification over a fixed taxonomy (urgency, financial_promise, credential_request, crypto_mention, cta, legal_offer, medical_claim, seo_spam, url_shortener, press_releas
dedupeNear-duplicate detection across a batch of documents. Exact Jaccard similarity over word-3-shingle sets decides duplication; a 64-bit SimHash is returned per document as a compact content fingerprint.
diffLine-level LCS diff of two text blobs. Returns a structured edit script with insertions, deletions, unchanged line counts and per-operation metadata; with format='unified' also returns a unified-diff
chunkSplit long text into pieces for RAG retrieval. Strategies: 'sentence' packs whole sentences into a size budget and never splits mid-sentence; 'paragraph' prefers \n\n boundaries; 'fixed' is a hard cha
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