"AI Generated Text Detection Tools" matching MCP tools:

• get_project_contextA

  2oolsB

  Read one source-free operating packet: active version metadata, the latest explicitly selected observed project input, review attention, artifact index, work queue, and current activity cursor. Imported input is immutable evidence, not an AI proposal or live filesystem sync; private 2ools skills, prompts, routing, governance text, and generated version source are not returned.

  ConnectorNo auth

• detect_ai_textA

  Stipple — Document Verification & ExtractionA

  Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims. Costs 1 credit(s) per call.

  ConnectorNo auth

• detect_ai_textA

  Stipple — AI Text DetectionA

  Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.

  ConnectorNo auth

• designesy_readiness_scoreA

  DesignesyA

  Score a URL for design-system AI readiness — the 6th maturity axis (zeroheight 2026). 10 checks probe the target origin for machine-readable artifacts: DTCG token files, llms.txt, agent.json, MCP endpoint (tools/list), DESIGN.md, token $description, component schemas, sitemap.xml, robots.txt, and Open Graph/Twitter meta. Use this to verify whether a design system is the default context AI tools build from, or whether AI is silently working around it. When NOT to use: for full design-contract scoring, use designesy_score; for AI-drift detection, use designesy_drift_score. Executable — fetches the URL and probes the origin via HEAD/GET for each artifact. No browser needed. Returns JSON: { ok, url, score (0-100), grade (A-F), pass, warn, fail, total, checks[{id, item, category, status, detail}] }. Results cached ~24h per URL.

  ConnectorNo auth

• get_asset_packA

  MozaikaA

  Get a ready-made AI-generated icon pack (12 consistent icons) — e.g. a house style like 'clay-starter' / 'line-minimal-starter', or a pack generated in the MEASURED style of a decoded brand. Free and unmetered. Each image is a 1024px transparent PNG you can download and use directly (full commercial rights). Unknown slug → lists available packs.

  ConnectorNo auth

• axiorank_author_detectorA

  AxioRank: Zero-Trust for AI AgentsA

  Describe a risk in plain English and AxioRank's AI proposes a custom content detector (regex or keyword) and SAVES it DISABLED for your review. An LLM never arms detection unattended. Outbound content categories only (secret/pii/destructive/injection/egress). Requires the `policies:write` scope and an AI-assessments-enabled plan (Team+).

  ConnectorNo auth

• feed_archiveA

  whale-insightsA

  News feed archive — paginated 30-day history (public, MCP-compatible) — Returns a paginated archive of crypto news articles, analysis, and AI-generated summaries from the CryptoWhaleInsights feed, covering the last 30 days. Whale movement events are excluded — use /api/public/whale-movements for on-chain flow data. AI agents can use this to read the latest crypto news, market analysis, and AI-generated summaries without any credentials. Optional type filter: news (RSS articles), ai (AI-generated summaries), manual (analyst notes). Default: all non-whale-move items. Optional keyword search: q (max 100 chars) filters by token name or keyword — case-insensitive match on title and summary (e.g. q=ETH returns only ETH-related items). Pagination: page (1-indexed, default 1), pageSize fixed at 20. period filter: 7d | 30d (default 30d — maximum public window). Response: { items[], total, page, pageSize, hasMore, updatedAt }. Each item: id (number), title (string), summary (string), source (string — feed source name e

  ConnectorNo auth

• get_market_commentaryA

  TipRanksA

  Cached equities market sentiment snapshot. Returns {overallSentiment, atmosphere, keyThemes, tailwinds, headwinds}. Generated by TipRanks' AI pipeline with web search, refreshed every ~4 hours; this endpoint reads the cache only and does not trigger regeneration. If no recent cache exists, returns {"status": "unavailable"}. The content is AI-generated commentary, not authoritative TipRanks market data — present it as such to end users.

  ConnectorNo auth

• glim_detect_aiA

  glim.shA

  Detect AI-generated text. Scores any text for AI-authorship likelihood and returns an overall verdict (AI / human / mixed) with confidence, the AI/human/AI-assisted fractions, and a segment-by-segment breakdown showing exactly which parts read as AI-written - including per-segment humanizer flags (AI output run through paraphrasing/'humanizer' tools). Use it to verify whether content (comments, articles, profiles) is AI-generated, or to check text before publishing to see which segments would trip AI detectors - revise the flagged segments and re-check. Cost scales with text length: $0.06 per 100 words, rounded up, minimum $0.06. Max input 20,000 characters.

  ConnectorNo auth

• search_toolsA

  Alternativas IAA

  Search the Alternativas IA catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

  ConnectorNo auth

• search_toolsA

  Beste KI ToolsA

  Search the Beste KI Tools catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

  ConnectorNo auth

• generate_contentA

  SendItB

  Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.

  ConnectorNo auth

• draft_support_replyA

  DeskCrewA

  Draft a professional customer-support reply from a raw customer message. Tenant-agnostic: no account or ticket id needed. Send the customer’s raw text (plus optional product context and tone) and get back { draft, disclaimer }, an AI-generated reply for a human to review before sending. Nothing is stored and nothing is sent to any customer. [price: $0.05]

  ConnectorNo auth

• content_humanizeA

  TollmintA

  Rewrite text for tone, cadence, and brand voice while preserving meaning exactly. Returns a before/after analysis: burstiness, hedge and transition density, abstract-noun ratio, plus the specific sentences that read mechanically and which signals they tripped. Reports signals the rewrite failed to clear rather than hiding them. Declines academic manuscripts and requests to defeat AI detection — enforced by structural checks on the submitted text, not by a policy the caller self-certifies against. Costs up to $0.026000 (metered per 1k_output_tokens; you are charged only for units used).

  ConnectorNo auth

• search_toolsA

  LaunchelionA

  Search the Launchelion catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

  ConnectorNo auth

• validate_ai_outputA

  Verificate MCPA

  The merge gate for ANY AI-written output — code, documentation, reports, emails, configs: returns a binary approve/reject verdict with veto power — e.g. it rejects code calling the nonexistent stripe.Inventory API, an N+1 loop with the latency arithmetic to prove it, or a doc claiming success with no evidence. Deterministic reality gates (mock/placeholder veto, gaming and bypass detection, invented-API checks) run first and cannot be overridden; a frontier-model review (ISO/IEC 25010) then scores quality, accuracy, reliability and tech debt. In a benchmark, a frontier model reviewing alone caught reward-gaming and hallucinated APIs 0/6 times in a natural review workflow; these gates catch them deterministically on every call. Read-only: nothing is executed. Call it on every AI-generated deliverable before accepting it; use validate_plan for plans, analyze_code for an advisory report without a verdict.

  ConnectorNo auth

• agent_verifyA

  Colour MemoryA

  Verify that an AI-generated image actually used the colours specified in an agent_brief call. Supply the generated image (URL or base64) and the target palette from agent_brief colour_tokens. Returns a fidelity score 0-100, dE2000 distance per colour, match quality per colour (accurate/acceptable/drifted/ignored), and an overall verdict. Use after agent_brief + image generation to close the colour loop.

  ConnectorNo auth

• x-twitter.reply_to_postA

  Vee3A

  Reply to a post from a connected X account. Call x-twitter.connected_accounts first. Pass user_id or user_name to target a specific account, or omit both to use the default account. Requires reply_to_post_id. Supports the same content options as x-twitter.create_post: text, polls, media, reply settings, paid partnership disclosure, AI-generated labels, super-follower exclusivity, nullcast posts, cards, communities, and direct-message deep links. At least one of text, poll, media, or card_uri is required, same as x-twitter.create_post. Token pricing matches x-twitter.create_post.

  ConnectorNo auth

• translateA

  MapleFlowA

  Translate text between 75+ languages with auto-detection. Supports dynamic pricing based on text length.

  ConnectorNo auth

• get_test_resultsA

  TestMyVibesA

  Fetch full results for a completed test: the checklist outcomes, the report summary, and any AI-generated analysis. Returns status='pending' if the test isn't done.

  ConnectorNo auth

• crc32A

  CrcA

  Compute the CRC-32 (IEEE) checksum of UTF-8 text — the algorithm used by zip/gzip/PNG. Returns the unsigned 32-bit value and its hex form. Keyless, offline. (Error-detection checksum, not cryptographic.)

  ConnectorNo auth