PrepLayer.ai MCP Server

by maximusmediahouse Your server? Claim it

answering

PrepLayer.ai is answering right now. Last checked 8 min ago. It exposes 16 tools. Last commit 21 Oct 2026.

Deterministic text prep for agents. Pay per call via x402 USDC.

Uptime history 6 days of history · worst day 99%

6 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

270 ms

Response time

average over 24h

Stars

last commit 21 Oct 2026

What changed 8

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 28 October 2026. No other catalogue keeps this.

29 Oct 2 tool descriptions were rewritten3 times that day batch, subscription

28 Oct 3 tools appeared batch100, batch50, subscription

28 Oct a tool description was rewritten2 times that day batch

and 2 more, back to 28 October 2026

PrepLayer.ai missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add preplayer --transport http https://api.maximusmediahouse.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://api.maximusmediahouse.com/mcp

~/.codex/config.toml

[mcp_servers.preplayer]
url = "https://api.maximusmediahouse.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "preplayer": {
      "url": "https://api.maximusmediahouse.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "preplayer": {
      "type": "http",
      "url": "https://api.maximusmediahouse.com/mcp"
    }
  }
}

Available tools 16

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

extract

extract

Extract 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 successful call (x402, client-paid); failed calls are not charged.

extract_custom

Pull caller-defined structured fields from text using regex patterns with deterministic type coercion. Supported types: string, bool, date, url, email, number. Returns {fields: {name: value|null}, found, missing}. Pure deterministic — no LLM call. $0.005 USDC per successful call (x402, client-paid); failed calls are not charged.

validate

validate

Validate 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}. $0.002 USDC per successful call (x402, client-paid); failed calls are not charged.

validate_json

Deterministic JSON-Schema subset validator. Catches malformed JSON before it breaks a pipeline. Supports: type, required, properties, items, minLength, maxLength, pattern, enum, minimum, maximum, additionalProperties. No external dependencies. $0.003 USDC per successful call (x402, client-paid); failed calls are not charged.

batch

batch

Run up to 10 primitive calls in one round trip for one x402 payment of $0.02 (= $0.0020 per call, below the priciest single-call route at $0.01). Each request names an `endpoint` (normalize, validate, extract, redact, classify, dedupe, diff, chunk, extract_custom, validate_json, slugify, hash) and its input; results return in request order. Single payment, no streaming. Larger rungs cost less per call: /v1/batch/50 ($0.075, $0.0015/call) and /v1/batch/100 ($0.100, $0.0010/call). $0.02 USDC per successful call (x402, client-paid); failed calls are not charged.

batch100

batch100

Run up to 100 primitive calls in one round trip. One x402 payment of $0.100 (=$0.0010 per call — the deepest rung of the batch ladder, cheaper per call than the 10- and 50-slot batches). Same `{endpoint, input}` request shape as /v1/batch. The volume mechanic for a corpus-holding buyer: one settle per 100 calls. $0.100 USDC per successful call (x402, client-paid); failed calls are not charged.

batch50

batch50

Run up to 50 primitive calls in one round trip. One x402 payment of $0.075 (=$0.0015 per call — cheaper per call than the 10-slot batch). Same `{endpoint, input}` request shape as /v1/batch; the response carries up to 50 results in order. Built for a production buyer running a whole corpus in one settle. $0.075 USDC per successful call (x402, client-paid); failed calls are not charged.

chunk

chunk

Split 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 char window with overlap. The highest-value endpoint for agents that build retrieval pipelines. $0.005 USDC per successful call (x402, client-paid); failed calls are not charged.

classify

classify

Rule-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_release, question, has_contact). Deterministic - identical text always yields identical labels. $0.003 USDC per successful call (x402, client-paid); failed calls are not charged.

dedupe

dedupe

Near-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. Up to 200 documents per call. $0.01 USDC per successful call (x402, client-paid); failed calls are not charged.

diff

diff

Line-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 string. $0.005 USDC per successful call (x402, client-paid); failed calls are not charged.

hash

hash

Content-addressable hashing for caching and dedup. Three algorithms: sha256 (via node:crypto / Web Crypto), xxhash64 and murmur3 (inline pure-JS, deterministic across runs). Returns hex digest + algorithm + byte count. $0.002 USDC per successful call (x402, client-paid); failed calls are not charged.

normalize

normalize

Deterministic 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 for exact equality. $0.002 USDC per successful call (x402, client-paid); failed calls are not charged.

redact

redact

Redact 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 per successful call (x402, client-paid); failed calls are not charged.

slugify

slugify

URL-safe slug from arbitrary text. NFKD-decomposes unicode (é -> e), lowercases, replaces every non-[a-z0-9] run with a separator, strips leading/trailing separators, truncates on separator boundaries (never mid-word). $0.002 USDC per successful call (x402, client-paid); failed calls are not charged.

subscription

subscription

Recurring tier: a PREPAID CALL BALANCE. One x402 payment of $1.00 credits 1,000 units of prepaid capacity (= $0.0010 per call), drawn down across sessions on the cheap deterministic routes (<= $0.01). The funded balance is the source of truth, queryable at GET /v1/subscription/balance, and remaining_calls is reported on every paid response. Non-auto-renewing: a one-time top-up whose spend stops at zero. No account, no API key, no monthly lock-in. $1.00 USDC per successful call (x402, client-paid); failed calls are not charged.

Endpoints

URL	Transport	State	Latency	Checked
https://api.maximusmediahouse.com/mcp	streamable-http	answering	222 ms	8 min ago

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PrepLayer.ai — questions

Answers built from our own checks of this server.

What can PrepLayer.ai do?

It exposes 16 tools, read directly from the server on our last check. Among them: batch, batch100, batch50, chunk, classify, dedupe and 10 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is PrepLayer.ai mostly used for?

Its tools cluster around extract and validate. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is PrepLayer.ai working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 270 ms. The bar chart above shows every period we have measured.

How do I connect PrepLayer.ai?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does PrepLayer.ai need an API key?

No. PrepLayer.ai completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 16 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is PrepLayer.ai?

It answers our handshake in 270 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is PrepLayer.ai open source?

We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.