"Understanding Requirement Analysis" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
ASOMobile MCP server: App Store Optimization data for the iOS App Store and Google Play inside AI agents. 29 tools: keyword research (traffic, competition, suggestions), app keyword indexing, competitors and keyword gaps, top charts and chart history, reviews with rating summaries, Apple Search Ads insights, organic download estimates and Keyword Monitor rank tracking, plus six ASO skills (app audit, keyword research, competitor audit, localization check, review analysis, ASA planning). Remote streamable HTTP with OAuth 2.1 (DCR + PKCE); sign in with your ASOMobile account.
NeuralVerge is the data layer for agentic AI. Ask a question in plain language and get a structured, cited answer drawn from 300+ sources — e-commerce marketplaces, corporate registries, company intelligence, enrichment and social — plus the open web. Connect over MCP or REST. What's inside: • E-commerce & marketplaces — 128 sources: Amazon, eBay, Walmart, AliExpress, Alibaba, Shopify, Target, Zalando, Rakuten, Flipkart and more • Corporate registries — 95: UK, France, Spain, the Netherlands, Sweden, Norway, Poland, Brazil, Canada, Australia and more • Startup & funding data — 93: Dealroom, PitchBook, Tracxn, Owler, Product Hunt, Y Combinator, Wellfound, Kickstarter, Indiegogo, Seedrs and more • Company intelligence — 16: Crunchbase, Gartner Peer Insights, Capterra, Trustpilot • B2B data — 7: Company and people search, Company and people profiles, Company employees • Enrichment: Email lookup, Phone lookup, LinkedIn Finder, Email finder Teams use NeuralVerge for agentic products, go-to-market, outbound, market research, competitor analysis, brand monitoring, public procurement, e-commerce intelligence, due diligence, KYC/KYB and recruiting. Works with Claude, ChatGPT, Gemini, Cursor and any MCP client. → neuralverge.ai
Explore 1,000,000+ active job postings worldwide — in the United States, Europe and other international markets. This public search connection offers five read-only tools: discover supported countries and work filters, find employers, search active jobs, read full postings and inspect market totals. Search and original application links are free. Find full-time roles or remote, part-time, contract and flexible opportunities for extra income. Use declared weekly hours and schedule filters; unknown hours are not invented, and remote does not automatically mean worldwide work eligibility. Check the full posting before applying. Try: “Show supported countries and filters, then find remote part-time jobs with at most 20 declared hours per week”, “Find employers hiring PHP developers in my eligible countries”, or “Open the full posting and original application link for this job”. The Glama discovery profile is deliberately limited to jobs:read. It cannot access a CV, modify a tracker, spend AI credits, send applications or buy anything. The wider roTEAMnet platform also offers confirmed-fact CV preparation, fit analysis, document export and application tracking through separately authorized private tools and the website. A verified free account includes 15 one-time AI credits for those optional workflows. Connect using OAuth. Permissions are scoped and revocable. Interface: English, German, French, Romanian, Dutch, Italian and Spanish. Setup and examples: https://roteamnet.com/en/ai-agent?utm_source=glama&utm_medium=connector_directory&utm_campaign=connector_launch#first-result
Scores for the largest companies in each market with no account. Sign in for analysis and screening.
Marcora is the context layer for go-to-market teams. Build your source of truth once: a Brand Foundation (positioning, brand voice, and writing style) plus a Reference Library of product docs, buyer personas, competitive analysis, and messaging. Claude, ChatGPT, and any AI tool that supports MCP connections read from it, so what you write stays on-brand and accurate.
Transcribe, summarize and analyze audio with AssemblyAI speech-to-text and Speech Understanding.
A fast first-pass screen against the USPTO federal register — sound-alikes, look-alikes, and same or related classes, in plain English. Below are all Tool descriptions 1. screen_trademark Screen a brand name against the USPTO federal register. Read-only. Use this FIRST for any name. Returns JSON with a plain-English risk verdict (HIGH / MEDIUM-HIGH / MEDIUM / LOW), ranked conflicting marks (each with sound/appearance similarity, class relatedness, live/dead status, owner, serial), and the data-as-of date. Pass format "csv" to get the same results as a spreadsheet (one row per hit) instead of JSON. Limited to 100 screens/day on this server. SCREEN ONLY — not a clearance opinion, not legal advice. After this, use check_global_marks for EU/UK, check_domains for the domain, and watch_mark to monitor the name. 2. trademark_status Authoritative status for ONE mark you already know, by serial number (sn12345678) or registration number (rn1234567). Read-only. Returns JSON with the mark's live/dead status, owner, classes, goods/services, and filing/registration dates. Uses TSDR if a free key is set, otherwise the public Trademark Search record. Use when you have a serial/registration number (e.g. from a screen_trademark hit) and want the authoritative record for that one mark — not for searching by name (use screen_trademark for that). 3. suggest_classes Suggest the Nice classes (1-45) a goods/services description falls under, with reasons. Read-only, pure reasoning — no live data, no register lookup. Input goodsDescription is what you sell (e.g. 'music streaming app'); the more specific it is, the better the classes. Returns JSON with the suggested classes (each with its label), the classes assumed from your wording, and the reasons. Use before filing to pick classes (each class costs $350 to file), or to feed classes into screen_trademark / check_global_marks. Always verify against the USPTO ID Manual for the exact pre-approved description. 4. analyze_name Analyze a brand name's strength WITHOUT checking the register — read-only, offline, deterministic (same name always gives the same result). Returns JSON with the distinctiveness spectrum (fanciful / arbitrary / suggestive / descriptive / generic), phonetic collisions to check, and a checklist (other-language meanings, common-law use, state registers). Optional goodsDescription (what you sell) sharpens the analysis: a descriptive word for those goods scores weaker than the same word for unrelated goods. No live data and no register results — pair it with screen_trademark, which checks the actual federal register. Use this to judge how protectable a name is; use screen_trademark to judge whether it conflicts. 5. compare_marks Compare two specific names side-by-side. Read-only, deterministic — the same two names always give the same scores. Returns JSON with visual similarity, Jaro-Winkler, phonetic (Soundex) similarity, an overall confusion score (0-1), and a risk level. Use to compare two names you already have in mind; use screen_trademark to discover conflicts for a name across the whole register (it also weighs classes and live/dead status, which this does not). Does not assess meaning, commercial impression, or class relatedness. 6. check_domains Check whether a brand name is free to register as a domain. Read-only. Returns JSON with one result per TLD (registered / available / unknown) — all TLDs are checked in parallel. Uses RDAP (the registry's own data, free, no key): 404 = not registered; 'unknown' = the TLD has no RDAP service. Covers .com/.io/.ai/.co/.app/.dev/.net/.org by default, or a custom TLD list. A free domain does NOT mean the trademark is clear, and a taken domain does not block the trademark — domains and trademarks are separate rights, so use screen_trademark for the trademark check. 7. check_global_marks Check a brand name against EU + UK trademark registers via TMview (EUIPO-operated, offices EM + GB). Read-only. Returns JSON with the EU/UK hits scored the same way as screen_trademark, plus the classes used. Use AFTER screen_trademark when you also sell in the EU/UK; the US screen is unaffected if TMview is down. BEST-EFFORT: TMview has no published API and resets connections from plain HTTP clients — when it will not answer, this returns { checked: false, reason } with a manual link instead of failing. A clear EU/UK result is a signal, not clearance. 8. request_watch_code Send a 6-digit verification code to an email address, for watch access. This sends an email (the only side effect) but creates nothing. Call it BEFORE list_watches, unwatch_mark, or attaching an email to a watch with watch_mark. The code expires in 10 minutes (5 tries); verifying it returns a 60-minute session token you can reuse for the other watch tools. A code is sent even if the email has no watches, so the response never reveals whether an address has watches. 9. watch_mark Start watching a mark for NEW confusingly similar filings. This CREATES a watch (a side effect — it stores the watch and sends a confirmation email with the stop link). Runs a baseline screen first — everything already on the register is marked seen, so you are only alerted on filings that appear AFTER the watch starts. Returns JSON with the watch id, its classes/threshold/schedule, and the baseline hits (for context). Check for new filings with check_watches, or let the scheduled checker run (daily by default, or weekly / every N days if you set a schedule). An email is required — it is the watch's owner, and the digest goes there (needs RESEND_API_KEY on the server; without it the watch still works and records hits, and alerts start once email is switched on). The email must be verified first — call request_watch_code, then pass the email and code (or the session token); without verification the watch is refused, so nobody can attach someone else's inbox. SCREEN ONLY — not clearance, not legal advice. 10. list_watches List the watches you ALREADY have — a read-only view, it does NOT check for new filings. Returns JSON with each watch's mark, classes, threshold, schedule, created/last-checked dates, total alerts so far, and the most recent new hits. Use this to see what you are watching; use check_watches to actually run a check for new filings right now. Private to one email — pass the email and the 6-digit code from request_watch_code, or a session token from a previous verification. No email addresses are ever returned. 11. unwatch_mark Stop watching a mark. This DELETES the watch (a side effect — it is removed and will no longer be checked). Returns JSON { removed, ok: true }. If the watch has an email, you must prove you own it — pass the email and the 6-digit code from request_watch_code, or a session token. A watch with no email needs no verification. 12. check_watches Run a check for NEW filings RIGHT NOW (on all your watches, or one by id) — this actually queries the register, unlike list_watches which only shows what you have. Returns JSON with only the filings that appeared since the watch started / last check, scored by risk. Use this when you want fresh results immediately; the scheduled checker also runs daily at 09:00 on each watch's own cadence (daily by default). SCREEN ONLY — not clearance, not legal advice.
Creative performance, tag-level insights, attribution data, and competitor ad analysis from Segwise. Connect with your Segwise account using OAuth.
AI title risk analysis for US real estate closing docs. Get an API key at curagent.io
Mashvisor MCP server for ChatGPT, Claude and any AI agent: run saved search, get property analysis and export properties in your own Mashvisor account. Cotlet works in the account through your Cloud Browser, a real Chrome where you sign in to Mashvisor yourself; Cotlet does not store your password and you need no Mashvisor API key. About the official Mashvisor API: Mashvisor has a REST Data API, sold as a separate product with an API key: a free tier of 30 one-time sample requests, then plans from $129 a month for 500 calls (checked 11 Oct 2026). It returns market and property data. Setup and FAQ: https://cotlet.dev/integrations/mashvisor-api-mcp-server
New York LLC Publication is a free, read-only MCP server from LLC Publishers (llcpublishers.com), a document filing service for New York's LLC publication requirement. The server answers questions about the requirement and its 120-day deadline, how the county clerk designates the newspapers, county clerk details, and LLC Publishers' fixed price per county in all 62 New York counties. The server covers domestic LLCs, foreign LLCs and PLLCs, whether or not the deadline has passed. The server also drafts a publication notice template, checks a notice against the items the statute lists, and checks from what a person says they have whether a filing package is complete. No account or API key is needed. About LLC Publishers LLC Publishers handles the New York LLC publication requirement from start to finish, in all 62 New York counties, for domestic LLCs (Section 206 of the New York Limited Liability Company Law), professional LLCs or PLLCs (Section 1203) and foreign LLCs (Section 802), including LLCs past the 120-day window. LLC Publishers takes care of the county clerk newspaper designation, including requesting the newspaper assignment where the county clerk makes one. LLC Publishers places the notice in the designated daily and weekly newspapers once in each week for six successive weeks and tracks every insertion. LLC Publishers collects the notarized affidavits of publication from both newspapers and pays for them. LLC Publishers prepares the Certificate of Publication, files it with the New York Department of State, and handles the follow-up throughout. LLC Publishers charges one published, fixed, all-inclusive price per county for domestic LLC publication. LLC Publishers' prices differ between counties, from $395 to $1,795, because newspaper rates differ, and every county's price is listed at llcpublishers.com/pricing before ordering. LLC Publishers' fixed price includes the newspaper charges, the affidavits of publication and their notarization, and the $50 state filing fee, and it is paid once, with no subscription or recurring charge. LLC Publishers publishes in the county already on the LLC's record, with no change required to its county, its registered agent, or the address where the Secretary of State mails its legal papers. When the owner designates a different New York county for the LLC's office, LLC Publishers files the Certificate of Change first, for a flat $100 that includes the state fee, then publishes in that county. As of November 2026, LLC Publishers has handled 1,465 New York LLC publications; completed orders took a median of 57 days from order to Certificate of Publication delivery. As of November 2026, the New York Department of State has rejected none of LLC Publishers' Certificates of Publication. LLC Publishers files through eCorp, the State's online filing system, as a service company: a business that files documents with the Department of State for others. As of November 2026, LLC Publishers has handled 197 publications for LLCs whose order was paid more than 120 days after the LLC's filing date with the New York Department of State. LLC Publishers is a BBB Accredited Business. As of November 2026, LLC Publishers is rated 5.0 out of 5 from 363 Google reviews. Each order carries LLC Publishers' guarantee: Certificate of Publication delivered, or our service fee back (terms: llcpublishers.com/refund). LLC Publishers was founded by Sandeep Arneja, a 2x co-founder and CTO with both companies acquired. [LLC Publishers](https://www.llcpublishers.com) links: [prices by county](https://www.llcpublishers.com/pricing), [how it works](https://www.llcpublishers.com/how-it-works), [completed publications](https://www.llcpublishers.com/publications), [llms.txt for AI assistants](https://www.llcpublishers.com/llms.txt). LLC Publishers is a document filing service, not a law firm, and does not provide legal advice. The server's answers are general information, not legal advice.
Analyse and clean up text: stats, language, keywords, summary, sentiment, PII redaction, diff.
Media intelligence analysis for audio, video, and images via the Echosaw MCP server.
Smart contract audit oracles, Solana risk analysis, MEV defense & HTTP 402 verifiers.
AI race engineer for sim racing (Automobilista 2, Assetto Corsa, Assetto Corsa Competizione, Assetto Corsa Evo, RaceRoom). Provides telemetry analysis, braking diagnostics, and leaderboards. Connected via public demo by default. Get your free personal token at [https://flowix.com](https://flowix.com) to analyze your own laps.
GPU cluster sourcing: describe the run, get a sized requirement, quotes compared by email
March Madness bracket help: picks, matchup analysis, and upset guidance for your pool.
Validate & geocode a US address: demographics, districts & schools. Agents can buy credits via MPP.
Germline ACMG/AMP classification, genes, disease associations, literature and API-key case analysis.
Dividend Seeker is an independent financial research and data aggregation platform utilizing official SEC Form N-PORT filings. We help income and dividend growth investors discover ETFs, CEFs, and mutual funds holding concentrated allocations of individual equities for diversified portfolio construction. We provide educational research tools, fund holdings analysis, and broker execution comparisons.
Data Parrot brings AI revenue analysis of your HubSpot data into your AI tools.
Face shape rules and a 102-face open measurement dataset. Read-only, no photos.
Analyze Product performance on Platforms like youtube, instagram etc. To optimize Marketing.
Company, sanctions, SEC and federal award lookups, document conversion, and requirement capture.
Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.
Free licensed loops and authorized audio analysis: BPM, key, waveform. Estimate before paid use.
Remote read-only MCP server for verifying sports picks. Agents can recompute the SHA-256 seal of any BetsBeats pick (verify_pick), read the public win/loss record including losses (get_record, get_results), and use odds tools (convert_odds, expected_value, parlay_payout). No auth required. Analysis and entertainment only; 21+.
ASOClimb brings App Store Optimization into your AI assistant. Connect it once with OAuth sign-in, then ask in plain language about the apps you publish on the Apple App Store and Google Play. What it can do: - Keyword research: live keyword inspections with traffic, difficulty and KEI scores, top-ranking apps and related terms, plus live store autocomplete suggestions. - Rank tracking: track keywords for your apps, see daily rank observations, movers, favorites and rank alerts. - Competitors: track competitor apps, see the keywords they rank for, and find keyword gaps where they rank and you don't. - Market research: top free, paid and grossing charts, new releases, category ranks and niche analysis from a seed keyword. - Listing copy: check any App Store or Google Play listing, simulate new titles, subtitles and keyword fields against store character limits, save drafts and compare them with the live listing. - Account: see your plan, limits and month-to-date usage. Ranks are dated observations, not store-provided data. Tools that only read data are marked read-only. Only two tools remove data: untrack_keyword and remove_competitor. Plans: Free costs $0, covers 1 app, and includes 25 keyword inspections and 500 API/MCP requests a month. Pro costs $10 a month or $100 a year, covers up to 50 apps, includes unlimited keyword inspections and 50,000 API/MCP requests a month, and is sold at asoclimb.com/pricing. Monthly allowances reset on the 1st (UTC). Built by Approtic Solutions Private Limited.
Research U.S. public companies from their SEC filings: financials, XBRL facts and filing text.
Calibrated vision for AI agents: meal nutrition estimates, personal color analysis, an integrated styling profile and client-ready PDF style reports, with a free photo pre-check. x402 (USDC on Base), no API key; failed calls are never charged.
15 deterministic AI agent and developer tools for code context pruning, token budgeting, hybrid search reranking, self-healing patches, AST analysis, circular dependency detection, root-cause isolation, schema compilation, math/financial solving, critical-path scheduling, A/B testing, memory diffs, API compatibility checks, boundary test generation, and Monte Carlo risk simulation.
Create and manage online surveys and analyze responses from Claude, ChatGPT, Cursor and other MCP clients. Connect your QUESTIONSTAR account via OAuth. Supports survey design, response collection, statistical analysis and reporting. Hosted in Germany. Free plan: all survey features, one active survey, up to 50 responses per survey. Interface: English, German and Russian; surveys in any language. Docs: https://questionstar.com/help/integrations/mcp-ai/
German foreclosure auctions (Zwangsversteigerungen): search, details, AI analysis, statistics.
# Supadata **Supadata ([supadata.ai](https://supadata.ai)): video transcripts, social media metadata, AI video analysis, and web scraping for AI agents, behind one MCP server.** [Supadata](https://supadata.ai) turns YouTube, TikTok, Instagram, X (Twitter), and Facebook videos, plus any web page, into clean text and structured JSON that an LLM can use. Your agent passes a URL and gets back a transcript, metadata, extracted data, or Markdown. One account, one response format across every platform. This repository is the integration front door. The product itself lives at [supadata.ai](https://supadata.ai); the remote MCP server lives at `https://api.supadata.ai/mcp`. ## What you can build with it - **Video to text**: fetch transcripts through the [YouTube Transcript API](https://supadata.ai/youtube-transcript-api), [TikTok Transcript API](https://supadata.ai/tiktok-transcript-api), [Instagram Transcript API](https://supadata.ai/instagram-transcript-api), and [X (Twitter) Transcript API](https://supadata.ai/twitter-transcript-api). When a video has no captions, the [AI Transcription API](https://supadata.ai/video-transcript-api) generates one, and it works on direct video file URLs too. - **Video and channel metadata**: titles, descriptions, authors, views, likes, and comments as clean JSON, a simpler [YouTube Data API alternative](https://supadata.ai/youtube-api) that also covers TikTok, Instagram, X, and Facebook. - **Structured data from video**: give a prompt or a JSON schema and the [Video Analysis API](https://supadata.ai/video-analysis-api) returns structured output that accounts for visuals, audio, and context. - **Web context**: scrape any page to Markdown, map a site's URLs, or crawl a whole site for RAG and research. See the [web scraping docs](https://docs.supadata.ai). ## Verify the connection Ask your client: > Get the transcript of https://www.youtube.com/watch?v=dQw4w9WgXcQ and summarize it in three bullet points. You should see a `supadata_transcript` tool call and a real summary. ## What the tools do The server exposes 9 tools in four groups. - **Transcripts**: `supadata_transcript` (get a transcript from a YouTube, TikTok, Instagram, X, or Facebook video URL, or from a direct file URL; uses existing captions when available and falls back to AI transcription when there are none), `supadata_check_transcript_status` (poll an asynchronous transcript job by its job ID; long videos return a job instead of an immediate result). - **Metadata**: `supadata_metadata` (title, author, and engagement stats for a social media post or video). - **Video analysis**: `supadata_extract` (start an AI structured-data extraction job for a video, driven by your prompt or schema), `supadata_check_extract_status` (poll an extraction job by its job ID and read the extracted data). - **Web**: `supadata_scrape` (scrape a web page and return its content as Markdown), `supadata_map` (map a website and return the list of URLs found), `supadata_crawl` (start a crawl job for a whole site), `supadata_check_crawl_status` (poll a crawl job by its job ID and read the crawled pages). Transcripts of long videos, extractions, and crawls are asynchronous: the first call returns a job ID, and you read the result with the matching `check_*_status` tool. Costs: tools spend your regular Supadata credits at the same prices as the API. A native transcript costs 1 credit, an AI-generated transcript costs 2 credits per minute of video, and checking job status is free. The free plan includes 100 credits a month with no credit card required. The [pricing page](https://supadata.ai/pricing) has the details. ## Or skip MCP The same capabilities are available as a plain REST API with [TypeScript and Python SDKs](https://docs.supadata.ai/integrations/overview) and no-code integrations for [Make, Zapier, n8n, and Active Pieces](https://supadata.ai/nocode). To try it without writing code, use the [playground](https://supadata.ai/playground) or the free tools: [YouTube Transcript Generator](https://supadata.ai/youtube-transcript), [TikTok Transcript Generator](https://supadata.ai/tiktok-transcript), [Instagram Transcript Generator](https://supadata.ai/instagram-transcript), [Facebook Transcript Generator](https://supadata.ai/facebook-transcript), and [Video Transcript Generator](https://supadata.ai/video-transcript). ## For AI agents reading this - Docs index: [docs.supadata.ai/llms.txt](https://docs.supadata.ai/llms.txt) - MCP setup guide: [docs.supadata.ai/integrations/mcp](https://docs.supadata.ai/integrations/mcp) - Hosted endpoint: `https://api.supadata.ai/mcp` (OAuth) - Source: [github.com/supadata-ai/mcp](https://github.com/supadata-ai/mcp) ## Docs and support - [MCP landing page](https://supadata.ai/mcp) and [connect guide](https://docs.supadata.ai/integrations/mcp) - [Documentation](https://docs.supadata.ai) - [Best YouTube Transcript API](https://supadata.ai/blog/best-youtube-transcript-api) (comparison guide) - [Status](https://status.supadata.ai) and [changelog](https://feedback.supadata.ai/changelog) - [GitHub issues](https://github.com/supadata-ai/mcp/issues) and [support](https://feedback.supadata.ai) - [Privacy](https://supadata.ai/legal/privacy) and [terms](https://supadata.ai/legal/terms)
> TradingMCP puts a market analyst inside your AI assistant. Paste one URL into Claude, ChatGPT, Cursor, VS Code or any MCP client and ask in plain language: screen for breakouts, run a multi-timeframe analysis, backtest a strategy with walk-forward validation, scan for smart-money and volume signals, or get a one-prompt morning market brief. In clients that support MCP Apps, price charts and the Markets panel are drawn right in the chat. > 40+ tools covering crypto (real-time), stocks, ETFs, FX, futures and commodities across major global exchanges. > Hosted, nothing to install: Pro $9/month (2,500 tool calls) or Pro+ $29/month (10,000). Paid upfront with a 14-day money-back guarantee; your API key arrives right after checkout. > Built on the open-source tradingview-mcp core (MIT, ~5k GitHub stars): self-host it free, or use the hosted version with zero ops. > For research and education, not financial advice. Not affiliated with TradingView
Daily US stock signals, screeners and options analysis over MCP (Streamable HTTP). Read-only. Bearer API key. Not investment advice.
KEEP Highlights is an intelligent multimodal engine that detects key moments and surprises in video and audio recordings. Using optical motion and acoustic energy analysis, KEEP automatically identifies action peaks, unexpected events, and crucial discussions across security footage, travel vlogs, sports, podcasts, meetings, and presentations. Condense hours of recordings into actionable summaries and highlight reels.
Hotel and travel feed validation, normalization and requirement comparison.
ModelSpec is an analysis of alternatives for AI models: it decides which models fit a job from your requirements, sourced benchmarks and real cost, and shows its work. Keyed remote MCP server (x-api-key).
Short-form trend data: viral Shorts/Reels/TikTok, rising keywords, channel analysis, ad search.
