MCP server

Highland Intel APIs

group.highlnd-intel/highland-apis

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

70 pay-per-call APIs: DNS, email auth, security headers, web search, scraping, AI. x402 USDC/Base

Website

At a glance

Type

MCP server

Publisher

highlnd-intel.group (verified by the MCP Registry)

Status

Working at last check

Tools

70

Token cost

About 15,936 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http highland-apis https://api.highlnd-intel.group/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.highland-apis]
url = "https://api.highlnd-intel.group/mcp"

Gemini CLI

{"mcpServers":{"highland-apis":{"httpUrl":"https://api.highlnd-intel.group/mcp"}}}

Cursor

{"mcpServers":{"highland-apis":{"url":"https://api.highlnd-intel.group/mcp"}}}

VS Code

{"servers":{"highland-apis":{"type":"http","url":"https://api.highlnd-intel.group/mcp"}}}

Antigravity

agy mcp add highland-apis https://api.highlnd-intel.group/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"highland-apis","server_url":"https://api.highlnd-intel.group/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"highland-apis","server_url":"https://api.highlnd-intel.group/mcp"}

Tools

• base64 ~270 tokens
  Encodes UTF-8 text to standard or url-safe base64, or decodes either form; binary results that are not valid UTF-8 come back as hex. Returns encode: { base64, variant, bytes } · decode: { text | null, hex | null, utf8, bytes } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that d
• cf-ip-check ~166 tokens
  Says whether an IPv4 or IPv6 address is in Cloudflare's published edge ranges, and which range. Returns { ip, version, cloudflare, range, rangesAsOf }: range is the matching CIDR or null. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected be
• chunk-text ~400 tokens
  Splits text for retrieval by estimated tokens, sentences or markdown headings, with token overlap and stable SHA-256 chunk ids. Returns { chunks: [{ id (sha-256 hex of the chunk text), index, text, tokens, start, end, heading? }], count, mode, size, overlap, family, method } Price: 2 credits (1 cred
• classify ~246 tokens
  Picks one label from your list (2 to 20 labels) for a piece of text. Returns { label, labels }: the chosen label (one of yours, or null if none fit) and the labels sent. Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• claude-md-lint ~200 tokens
  Lints a CLAUDE.md: size, structure, @imports, and secrets, passwords or email addresses that should not be there. Returns { ok, stats { characters, lines, approxTokens, headings, imports }, findings[{ severity: error|warning|info, code, path, message }] and counts { error, warning, info } }. Paths a
• code-review ~197 tokens
  Reviews a code snippet and returns concrete issues (bugs, security, performance, style) with severity and a fix for each. Returns { language, summary, issues: [{ severity, line, issue, fix }] } Price: 4 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is reje
• commit-message ~152 tokens
  Turns a unified diff into a Conventional Commits message: type, scope, subject and body. Returns { message, type, scope, subject, body } Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• contrast-check ~213 tokens
  Computes the WCAG 2.2 contrast ratio of two colours, pass/fail for AA and AAA, and the nearest passing foreground when it fails. Returns { ratio, aa_normal, aa_large, aaa_normal, aaa_large, ui_components, suggested_foreground } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that
• cors-check ~415 tokens
  Sends a GET with an Origin header (and an OPTIONS preflight for non-simple methods, custom headers or credentials) to a public URL and reports the Access-Control-* headers with an allowed/blocked verdict. Returns { url, finalUrl, origin, status, preflight: { status } | null, headers: { acao, acac, a
• cron-explain ~175 tokens
  Explains a 5-field cron expression in plain English (UTC, as Cloudflare runs it). Returns { cron, explanation }: the expression and a plain-English reading of it. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• cron-to-cf ~204 tokens
  Checks a cron expression against Cloudflare Cron Trigger syntax, explains it, lists the next runs and gives the wrangler snippet. Returns { valid, cron, errors, warnings, explanation, nextRuns (up to 5 ISO times, standard syntax only), snippets { jsonc, toml } }. Price: 1 credit (1 credit = 1 CAD ce
• curl-to-code ~182 tokens
  Converts a curl command into JavaScript fetch, Python requests, Go net/http or PHP code. Returns { language, request: { url, method, headers, data }, code } Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• dataset-convert ~340 tokens
  Converts JSONL between OpenAI-style chat, Anthropic-style messages and Alpaca rows. System prompts move between the system message and the top-level field; rows that cannot convert are listed. Returns { from, to, converted, skippedCount, skipped: [{ line, reason }], jsonl } Price: 2 credits (1 credi
• dataset-split ~323 tokens
  Deterministic seeded shuffle and train/val/test split of JSONL rows. The same seed and input always give the same split. Returns { seed, ratios, counts: { train, val, test, skipped }, train, val, test } (each split as JSONL) Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that doe
• dataset-validate ~415 tokens
  Checks chat (OpenAI-style), messages (Anthropic-style) or Alpaca JSONL: per-line errors, role order, empty turns, duplicates, token estimates and a training-cost estimate from your price. Returns { format, lines, valid, invalid, ok, errors: [{ line, code, message }] (first 100), errorCount, errorsTr
• dns-lookup ~176 tokens
  A, AAAA, MX, NS and TXT records for a domain over DNS-over-HTTPS. Returns { domain, records: { A, AAAA, MX, NS, TXT } }: each record type as a list of strings. Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• embed ~176 tokens
  Embeds 1 to 16 short texts with the fixed Workers AI model @cf/baai/bge-base-en-v1.5 (768 dimensions) for search and clustering. Returns { model, dimensions, count, vectors: number[][] } Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected be
• enrich-company ~205 tokens
  Company profile from public web sources: name, description, industry, recent signals and the sources used. Returns { name, domain, description, industry, signals, sources: [{ url, title }] }: up to 5 signals and 8 sources. Organisations only, never people. Price: 14 credits (1 credit = 1 CAD cent) p
• enrich-url ~236 tokens
  Profiles one public page: title, summary, organisations and other entities, topics, sentiment and public contact points. Returns { url, finalUrl, title, summary, entities: [{ text, type }], topics, sentiment: { label, score }, contact_points: { emails, phones, pages, social } }. Only role mailboxes
• entity-extract ~272 tokens
  Named entities of fixed types (person, organization, location, product, event, date, money, law, technology), each found verbatim in your text. Returns { entities: [{ text, type }], counts }: up to 50 entities, each present in the (redacted) text, and a count per type. Price: 10 credits (1 credit =
• find-similar ~258 tokens
  Pages similar in meaning to a given public URL, with highlights. Up to 10 results. Returns { url, results: [{ title, url, publishedDate, score, highlights }] }. Price: 8 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• hash ~168 tokens
  SHA-1/256/384/512 hex digest of UTF-8 text. Returns { algorithm, hex }: the lower-case hex digest. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• header-audit ~187 tokens
  Which security headers a site's HTTPS front page sends, with a simple grade. Returns { domain, status, present, missing, grade, server }: security headers sent and missing, and a grade A, B, C or F. Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is
• hooks-validate ~190 tokens
  Validates a Claude Code hooks block (or a whole settings.json): events, matchers, hook types, timeouts and risky commands. Returns { ok, events, hookCount, findings[{ severity: error|warning|info, code, path, message }] and counts { error, warning, info } }. Price: 2 credits (1 credit = 1 CAD cent)
• hst-calc ~242 tokens
  Adds 14% NS HST to a subtotal, or splits a tax-included total. Confirm the rate with CRA. Returns { subtotalCents, hstCents, totalCents, rate }. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• http-status ~158 tokens
  Name, meaning, class, retryability and default cacheability of an HTTP status code, including Cloudflare's 52x codes. Returns { code, name, meaning, class, known, retryable, cacheableByDefault } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is reje
• https-redirect ~180 tokens
  Whether plain HTTP redirects to HTTPS, and whether HSTS is set. Returns { domain, redirectsToHttps, hsts, hstsMaxAge, hstsStrong }: HTTP-to-HTTPS redirect and HSTS status. Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• invoice-number ~266 tokens
  Formats PREFIX-YYYYMM-NNNNN-C with a Luhn check digit, or validates one. Returns { invoice } when formatting, or { valid } when validating. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• json-extract ~204 tokens
  Pulls the fields you name out of free text (emails, invoices, tickets) and returns strict JSON, null when a field is absent. Returns { data: { <field>: value | null }, found, total } Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before
• json-validate ~205 tokens
  Validates a JSON value against a JSON-Schema subset and lists every error path. Returns { valid, errors }: true when the value matches, and one message per error path (up to 50). Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before bill
• jwt-decode ~200 tokens
  Decodes a JWT header and payload without verifying it, with warnings for alg none, missing or past exp, future nbf/iat and risky header fields. Returns { header, payload, signatureBytes, times: { exp, nbf, iat, expired }, verified: false, warnings, note } Price: 1 credit (1 credit = 1 CAD cent) per
• keywords ~225 tokens
  Key phrases of your text, each found verbatim in it; falls back to a frequency ranking if the model answer is unusable. Returns { keywords, source }: up to `max` phrases and whether they came from the model or the frequency fallback. Price: 10 credits (1 credit = 1 CAD cent) per successful call; inp
• mail-auth ~181 tokens
  SPF and DMARC presence and policy strength for a domain. Returns { domain, spf, dmarc, dmarcPolicy, findings, pass }: the SPF and DMARC records, the DMARC policy and finding codes. Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before b
• mcp-config-validate ~199 tokens
  Validates a Claude Code .mcp.json: transports, commands, URLs, headers and env, and flags literal secrets by path. Returns { ok, servers[{ name, transport }], findings[{ severity: error|warning|info, code, path, message }] and counts { error, warning, info } }. Values are never echoed. Price: 2 cred
• mock-response ~184 tokens
  Generates realistic sample JSON from a JSON Schema or OpenAPI schema object, with field-aware values (emails, UUIDs, dates, URLs). Returns { data } or { data: [...], count } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• og-preview ~213 tokens
  Fetches a public page (first 512 KB) and returns its link-preview metadata: title, description, image, Open Graph and Twitter tags, canonical URL, icons and missing tags. Returns { url, finalUrl, status, title, description, image, siteName, canonical, icons, lang, og, twitter, missing, truncated } P
• openapi-lint ~193 tokens
  Checks an OpenAPI 3.0/3.1 document (as JSON): version, info, paths, responses, unique operationIds, declared path parameters and unresolved local $refs. Returns { valid, version, operations, refs, unresolvedRefs, errors: [{ path, message }], warnings: [{ path, message }] } Price: 2 credits (1 credit
• page-markdown ~203 tokens
  Fetches a public page and returns clean, LLM-ready Markdown of the main content, with title, word and link counts. No third-party scraper. Returns { url, title, words, links, truncated, markdown } Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is r
• pii-redact ~188 tokens
  Strips emails, phone numbers, card numbers, SINs and IPv4s. Runs locally, no model. Returns { text, counts }: the redacted text with [EMAIL]-style placeholders and a count per kind (email, card, sin, phone, ip). Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match t
• prompt-inject-scan ~177 tokens
  Scans untrusted text (web pages, emails, tool output) for prompt-injection patterns before it reaches your agent; returns a risk score and the hits. Returns { risk: none|low|medium|high, score, hits: [{ rule, weight, match, index }] } Price: 1 credit (1 credit = 1 CAD cent) per successful call; inpu
• prompt-lint ~195 tokens
  Flags prompt-injection phrasing, chat-template tokens, hidden characters, PII and secrets per line, and lists {{variables}}. Rule-based, no model call; flagged text is never echoed. Returns { ok, findings: [{ kind, severity, line, detail }], counts: { high, medium, low }, variables } Price: 1 credit
• quote-build ~367 tokens
  Totals line items, applies a discount and HST, and computes a deposit. No customer details taken. Returns { lines, grossCents, discountCents, subtotalCents, hstCents, totalCents, rate, depositCents }. Price: 5 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema
• rdap-lookup ~192 tokens
  Modern WHOIS over RDAP: registrar, creation and expiry dates, days to expiry, status codes, nameservers and DNSSEC. Returns { domain, registrar, created, updated, expires, days_to_expiry, status, nameservers, dnssec } Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not
• regex-from-english ~252 tokens
  Writes a JavaScript regex from a plain-English description, compiles it, and tests it against your sample strings. Returns { pattern, flags, literal, explanation, tests: [{ input, expected, got }], passed, total } Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not matc
• regex-test ~236 tokens
  Runs a JavaScript regex over sample text and returns matches and groups (capped sizes). Returns { count, matches }: up to 100 matches, each { match, index, groups }. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• robots-check ~211 tokens
  Reads a site's robots.txt and says whether a crawler may fetch a path, with the matching rule, the major AI crawlers' access and the sitemaps. Returns { robots_url, robots_status, agent, path, allowed, rule, ai_crawlers, sitemaps } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input t
• security-txt ~187 tokens
  Fetches /.well-known/security.txt and reports Contact and Expires (RFC 9116). Returns { domain, present, hasContact, expires, expired }: whether security.txt exists, has a Contact and has expired. Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is r
• semver ~178 tokens
  Sorts versions by SemVer 2.0 precedence, returns the latest stable and pre-release, and the next major, minor and patch. Returns { sorted, latest_stable, latest, invalid, next: { major, minor, patch, from } } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the
• sentiment ~204 tokens
  Positive, negative or neutral, with a score from -1 to 1, from a sentiment classifier over up to 8,000 characters. Returns { label, score, positive, negative, chunks }: label is positive, negative or neutral (below 0.6 confidence); score is positive minus negative. Price: 10 credits (1 credit = 1 CA
• seo-audit ~192 tokens
  Audits a live page: title and description length, H1s, canonical, robots, lang, viewport, image alts, structured data and links, scored 0-100. Returns { url, status, score, title, description, h1_count, images, images_missing_alt, links, checks: [{ id, pass, weight }] } Price: 3 credits (1 credit =
• similarity ~220 tokens
  Ranks up to 15 candidate texts by cosine similarity to a query, using @cf/baai/bge-base-en-v1.5 embeddings. Returns { model, ranked: [{ index, score }] (highest first), scores: number[] (input order) } Price: 3 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema
• slash-command-scaffold ~300 tokens
  Writes a ready-to-save Claude Code slash command file with frontmatter, $ARGUMENTS and a step outline. Returns { path, content, usage }: save content at path (.claude/commands/<name>.md). Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected be
• sql-explain ~156 tokens
  Explains a SQL query step by step and flags performance and safety risks, with index suggestions. Returns { summary, steps, risks, index_suggestions } Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• summarize ~174 tokens
  Three-bullet summary of up to 8,000 characters. Input is PII-redacted first. Returns { summary }: up to three short bullet points as one string. Price: 4 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• text-diff ~180 tokens
  Line-by-line diff of two texts (up to 500 lines each). Returns { added, removed, diff }: line counts and the diff lines prefixed with space, - or +. Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• text-stats ~149 tokens
  Word, sentence and character counts, reading time and a Flesch reading-ease score. Returns { characters, words, sentences, readingMinutes, fleschReadingEase }. Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• token-count ~183 tokens
  Estimated token counts for cl100k-like, o200k-like, Claude-like and Llama-like tokenizers plus a char/4 baseline. Deterministic estimates, not exact counts. Returns { estimates: { cl100k, o200k, claude, llama, char4 }, chars, bytes, pieces, method, exact: false } Price: 1 credit (1 credit = 1 CAD ce
• tool-schema ~226 tokens
  Builds ready-to-paste tool definitions for Anthropic, OpenAI and MCP from a compact parameter spec. Returns { anthropic, openai, mcp } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• translate ~266 tokens
  Translates text between languages; defaults to English to French for NS/NB customers. Returns { translated, source, target }: the translated text and the language pair used. Price: 4 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• uptime-check ~232 tokens
  One HTTPS probe of a public domain: status, latency and whether it looks up. Returns { domain, up, status, ms }: up is true for any status below 500; status is null when the host does not answer. Price: 2 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is re
• url-parse ~195 tokens
  Splits a URL into scheme, host, port, path segments, query (repeated keys as arrays) and fragment, with warnings for credentials, plain http and punycode. Passwords are never echoed. Returns { href, protocol, username, hasPassword, hostname, port, pathname, pathSegments, query, hash, origin, isIp, w
• user-agent-parse ~178 tokens
  Identifies browser, engine, OS, device class and known crawlers, AI bots and HTTP clients from a User-Agent string. Rule-based; user agents can be spoofed. Returns { browser: { name, version }, engine, os: { name, version }, device, isBot, bot } Price: 1 credit (1 credit = 1 CAD cent) per successful
• uuid ~178 tokens
  Generates 1 to 100 random v4 or time-ordered v7 UUIDs (RFC 9562) from Web Crypto. Returns { version, uuids: string[] } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• web-contents ~263 tokens
  Clean text of up to 5 public pages, capped per page, for agents to read. Returns { results: [{ url, title, publishedDate, text, characters }] }: one entry per page the provider could read. Price: 6 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected
• web-extract ~309 tokens
  Scrapes a public page and fills your flat schema (up to 20 typed fields) from it. Values are type-checked. Returns { url, finalUrl, title, data, missing }: one value per field (typed, or null when the page does not say) and the required fields that came back null. Price: 10 credits (1 credit = 1 CAD
• web-map ~281 tokens
  Discovers the URLs of a public site (up to 200), optionally ranked by a search term. Returns { url, count, links }: up to 200 unique public URLs. Price: 6 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected before billing.
• web-scrape Browses the web · ~232 tokens
  Main content of one public page as Markdown (up to 50,000 characters), with title and status. Returns { url, finalUrl, title, description, statusCode, markdown, characters, truncated }. Price: 7 credits (1 credit = 1 CAD cent) per successful call; input that does not match the schema is rejected bef
• web-search ~390 tokens
  Neural or keyword web search with highlights, for agents. Up to 10 results, public URLs only. Returns { query, results: [{ title, url, publishedDate, score, highlights }] }: up to 10 results, each with up to 3 highlights of 500 characters. Price: 8 credits (1 credit = 1 CAD cent) per successful call
• webhook-verify ~380 tokens
  Verifies Stripe, GitHub, Slack, Shopify or generic HMAC-SHA256 webhook signatures exactly as the provider computes them, with timestamp tolerance. Returns { provider, valid, timestamp?, age_s?, within_tolerance? } Price: 1 credit (1 credit = 1 CAD cent) per successful call; input that does not match
• wrangler-lint ~246 tokens
  Lints a wrangler.jsonc or wrangler.toml: name, entry point, compatibility date, secrets left in vars, routes. Returns { ok, format, findings[{ severity: error|warning|info, code, path, message }] and counts { error, warning, info } }. Values are never echoed, only paths. Price: 2 credits (1 credit =

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