RLSS UK's Speak Up. Be a Mate. campaign amplified by donation from TikTok UK. 02/07/2026 RLSS UK has received a generous donation from TikTok UK to help deliver trusted, practical water safety advice ahead of the summer holidays, when teens head to open water and the risk of drowning increases. TikTok UK has donated nearly £300,000 in advertising credits to RLSS UK to help amplify its Speak Up. Be A Mate. campaign on the social platform. Tiktok UK also donated to the Royal National Lifeboat Institution (RNLI), helping young people obtain expert advice from both charities in an accessible, relevant way before visiting beaches, lakes, rivers or other open bodies of water. RLSS UK's campaign encourages teens to #BeAMate and speak up when friends are taking dangerous risks around water. It was created to offer water safety advice for 13-17-year-olds, as recent data from the National Child Mortality Database (NCMD) reveals that this age group continues to be one of the most at risk of drowning. The campaign also encourages young people to follow the Water Safety Code, such as stopping to and think and assess risks around open water, to always stay together, and to know how to respond in an emergency. A toolkit has also been created for parents and carers of teenagers to 'Have the Conversation' about water safety in an open and honest way. Ara Yoo, Global Head of Product Impact at TikTok said: "TikTok is a place where young people discover, learn and share experiences. This partnership is about bringing important water safety advice from RLSS UK to young people in a way that feels relevant and accessible, reaching them in the spaces they already use every day. We're proud to help amplify guidance that could make a real difference, giving people the knowledge and confidence to stay safe this summer." Ashley Jones, RLSS UK Head of Water Safety and Education, said: "RLSS UK welcomes this opportunity to reach teens with vital water safety messages, particularly as young people remain one of the highest at risk groups for drowning. With TikTok's generous support, we can expand our Speak Up. Be A Mate. campaign, and reach even more young people at a time when drownings are most likely to occur. We're incredibly grateful to TikTok for their support and investment which enables us to share our expertise in lifesaving, lifeguarding, and water safety education to help prevent drowning so everyone can enjoy water safely this summer and beyond."

Abu Dhabi's MGX closes $49B AI fund, exceeding target. MGX Fund I has backed 14 companies to date, including OpenAI, SpaceX, Binance, TikTok, Khazna, and Vantage Data Centers. Abu Dhabi's state-owned AI investment firm MGX has closed what may be the world's largest AI fund to date. On Thursday, the firm announced that MGX Fund 1 secured $49 billion in commitments, exceeding its original $45 billion target. Launched to back initiatives in artificial intelligence and advanced technology globally, the fund has attracted investments from "an elite and diverse group of major institutional and private investors from the Gulf, North America, Asia, and Europe." "The firm launched Fund I to provide highly curated exposure to the AI thematic through disciplined investments in differentiated and restricted opportunities across the AI technology stack, including semiconductors, AI infrastructure, and AI and AI-enabling technologies and platforms," it said in a statement. To date, MGX Fund I has invested in 14 companies, including SpaceX, Binance, OpenAI, Khazna, TikTok, and Vantage Data Centers (North America), among others. In May, it participated in Anthropic's $65 billion Series H funding round, following its participation in the firm's earlier Series G raise. MGX is backed by the sovereign wealth fund Mubadala Investment Company and the AI and cloud computing group G42, and is chaired by Sheikh Tahnoon bin Zayed, Deputy Ruler of Abu Dhabi and National Security Adviser. As AI continues to grow at an exponential rate, investors flock to promising technologies and players. In Q1 2026, investors poured $300 billion into 6,000 startups globally, up over 150% quarter over quarter and year over year, according to Crunchbase data.

TikTok Ads MCP: run TikTok campaigns from your AI assistant (2026). TikTok Ads MCP explained: what a TikTok MCP server does, who the early players are, and how to research and launch TikTok campaigns from Claude or ChatGPT. If you're searching for a TikTok Ads MCP, you're early - and that's a good position to be in. TikTok recently launched MCP support, the ecosystem around it is brand new, and the tools that let you run TikTok campaigns from Claude, ChatGPT, or Cursor can currently be counted on one hand. This post maps the landscape as it stands in mid-2026: what a TikTok MCP server actually does, what the options are, and what separates them. Full disclosure up front: Adwhispr make one of them. Adwhispr'll be factual about the rest. What a TikTok Ads MCP server actually is. MCP (Model Context Protocol) is the open standard that lets AI assistants call external tools. An MCP server for TikTok ads exposes TikTok advertising operations - connecting an ad account, building campaigns, adjusting budgets, pulling performance - as tools your assistant can invoke mid-conversation. The practical effect: instead of clicking through TikTok Ads Manager, you type things like "launch a TikTok campaign with this video, $50/day, US 18-34, optimize for conversions" into Claude, and it happens. If you've used MCP servers for Meta ad research or campaign ops on Google, it's the same model pointed at TikTok. TikTok's own recently launched MCP support is what makes this ecosystem possible - but the server you choose determines what you can actually do with it. The landscape splits into two camps. Every TikTok-capable MCP tool today falls into one of two buckets: Execution-only servers. These operate your ad account: create campaigns, change budgets, pause and resume, report performance. Adspirer is the best-known example - a hosted MCP server with 340+ tools spanning Google, Meta, Amazon, LinkedIn, and TikTok, with a sensible safety model (campaigns are created paused, no destructive tools). It's genuinely good at campaign ops, and Adwhispr has said so in its honest comparison. But by design, execution-only tools have no concept of competitor ads and no creative engine. As Adspirer's own positioning puts it, you bring the strategy and creative direction separately. Research-only spy tools. Foreplay, Atria, MagicBrief, and the rest can show you TikTok and Meta ads competitors are running - but they're dashboards, not MCP servers with execution. They can't launch anything, and the ones that print "performance scores" on competitor ads are fabricating numbers the platforms don't expose. So the TikTok MCP question in 2026 is really: do you want a server that can only do, a tool that can only look, or one that does both? Where AdWhispr sits: research and execution in one server. AdWhispr is, as far as Adwhispr know, the first MCP server that does both halves of TikTok advertising - competitor-ad research and campaign execution - through one connection. Both are generally available today: | Capability | Tool | Status | | Research competitors' TikTok ads | research_tiktok_ads | GA | | Clone a winning ad for your brand | clone_tiktok_ad | GA | | Connect via TikTok Business Center | connect_ad_account | GA | | Launch a campaign (full video-ad builder) | launch_tiktok_campaign | GA | | Manage budgets, pause/resume, performance | update_budget, pause_campaign, resume_campaign, get_account_performance | GA | That table is the whole thesis. An execution-only server can run the campaign you already decided on. AdWhispr tells you what to run - pulls your competitors' proven winners, clones the best one for your brand, and launches it. Same chat, one prompt: "Find the longest-running TikTok ad from @competitor, clone it for my brand, and launch it on TikTok with a $50/day budget." Why the research half is the hard half. Anyone can wrap TikTok's campaign API in MCP tools - expect several more execution servers to appear this year. The research side is where the moat is, because it requires an actual intelligence layer, built over time: * A tracked ad library. At the time of writing, AdWhispr tracks 380+ brands and roughly 194,000 ads, with daily snapshots. * Verifiable performance signals. Ad platforms don't expose competitor CTR, CPC, or ROAS, so Adwhispr never print them. Instead Adwhispr use days-running as the performance proxy - brands don't keep paying for losing ads, and 74,000+ ads in its library have run 100+ days. The longest-running ad Adwhispr track has been live 2,587 days. * AI classification. Every ad is classified by hook, format, tone, and offer, with semantic search across the whole library. When your assistant recommends a TikTok angle, it should be pointing at evidence - an ad a competitor has paid to run for months - not generating plausible-sounding strategy from thin air. That's the difference between an MCP server with data behind it and a wrapper around an API. Beyond TikTok: one server, the full stack. If you run more than one channel, the same AdWhispr connection covers Google Search and Performance Max execution (both GA - tutorials for Search and PMax here), Google keyword research including what competitors bid on, and full Meta Ad Library research per brand. Meta execution is in beta. It works in Claude via claude.ai connectors, in ChatGPT, in Claude Code, and in Cursor. Pricing is flat, not metered: Free (5 tool calls/mo, 1 brand), Pro at $39/mo with unlimited research tool calls and a 3-day trial, Agency at $149/mo. Metered per-call pricing - the norm among execution-only servers - quietly taxes the iterative research conversations that make chat-based buying worth doing in the first place. How to choose your TikTok MCP setup. Honest guidance, mid-2026: * You only need campaign ops across many platforms, and strategy comes from elsewhere: an execution-only server like Adspirer is a reasonable pick - the category is growing fast for a reason. * You want your AI assistant to know what's winning on TikTok before it spends your money: you need a research layer, and AdWhispr is currently the only MCP server that has one for TikTok. * You want the single-prompt loop - research, clone, launch: that's the thing Adwhispr built, and today it's ours alone. The TikTok MCP ecosystem is weeks old, not years. Getting your workflow chat-native now is the early-mover advantage.