Manifold MCP

Manifold is a hosted MCP server that gives your AI agent live marketing data across every channel you grow on. Rather than opening another dashboard, you connect Manifold to the AI app you already use — Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini CLI, Grok, OpenCode or any other client that supports remote MCP servers — and ask questions in plain words. Your agent picks the right tools and brings back answers built on real data: Google rankings and backlinks, what AI assistants say about a brand, social posts and videos, Reddit threads, competitors' live ads, and companies and people with verified work emails. It is aimed at marketers, founders and growth teams, and it is free to start for every new workspace. Marketing data is usually spread thin. Rankings live in one tool, AI answer visibility in another, creator research somewhere else, competitor ads in an ad library, and buyer intent across LinkedIn, X and Reddit. Pulling that together means a pile of tabs, several logins and API keys for services like Reddit, LinkedIn or a search data provider. Manifold collapses it into one hosted connection: your agent signs in once and uses Manifold's own provider accounts, so there is no Reddit API app, no LinkedIn login and no DataForSEO deposit to manage. The result is a single place where an agent can look up live marketing data whenever it needs to, and answer with real numbers rather than guesses. SEO is the first data group. Your agent can see every keyword you rank for, who outranks you and why, and what to fix on your site. A typical question — which keywords do we rank 5 to 15 for that could reach page one? — returns terms sitting just below the first page. A sample answer might tell you to put a phrase in a page title because you already rank seventh for it, to answer a question directly on the page because an AI assistant gets it wrong, or to link to that page from your best-ranking posts. Because the data is fetched live from search providers, the recommendations reflect current rankings rather than a stale export. AI answers, sometimes called AEO, covers how assistants describe your brand. Your agent can ask ChatGPT, Claude, Gemini, Perplexity and Google's AI Overviews any prompt, on demand, and report which brands each answer names, in what position, and which pages it cites. You can check whether AI assistants recommend you for the questions your buyers ask, see who they name instead, and review which pages they cite. You pay per prompt and engine rather than a monthly fee for tracked prompts, and a free check shows whether your site lets AI crawlers read it — a prerequisite for appearing in AI answers at all. Social research finds the creators and videos already winning your niche. Your agent can locate the TikTok, YouTube and Instagram creators your buyers watch, along with their audience and their top videos with transcripts — for example, which sales creators on TikTok and YouTube get the most views and what their top videos are. Instagram, Facebook, LinkedIn and X are covered too. Ad libraries sit alongside this: you can pull competitors' live ads on Meta and Google, see what each one says, and check how long it has run, so you can write better ads by seeing what already works. Reddit and lead research connect that data to action. Your agent can find every thread that asks for what you make, read the replies and draft your answer — for instance, threads this month asking for a CRM, or Reddit threads asking for recommendations. On the people side, Manifold spots posts on LinkedIn and X about the problem you solve and returns each author's verified work email, so you can reach buyers who are looking right now. The agent writes from this data too: blog posts, Reddit replies, ad copy and outreach emails are drafted in the chat with real numbers behind them, and you check the drafts and use them where you want. Manifold is the data your agent works from — not a scheduler or an autoposter. Under the hood, Manifold is a remote MCP server. You connect your agent once — in Claude, add the URL as a custom connector and sign in; in Claude Code, run claude mcp add --transport http manifold followed by the URL — and every client uses one URL, https://mcp.manifoldmcp.com/mcp, and one credit balance. Tools carry names such as seo_get_ranked_keywords, aeo_run_ai_answers, reddit_search_posts and linkedin_search_posts, and your agent picks the ones it needs for your question. Manifold fetches data live from specialist providers when your agent asks: search, keyword, backlink and AI answer data come from DataForSEO, while Reddit, TikTok, Instagram, YouTube, Facebook, LinkedIn, X and the ad libraries come from the platforms' public data. Results are cached briefly — most for a day to a week — so a repeat question comes back fast and costs less. Answers you can act on are the point. Instead of raw exports, the agent returns specifics: what to fix on a page, who to reach out to, which threads to join. From there it can take the next steps for you, drafting the content or the outreach in the same conversation. You get real numbers rather than estimates, one balance and one URL across every client instead of a collection of keys and logins, and cost control built in — every call is paid from a single credit balance, each tool states its price before it runs, and your agent can cap what a call spends. Concrete workflows run across the product. In SEO, teams ask which keywords they rank 5 to 15 for that could reach page one. In AI visibility, they ask whether they are recommended for a query like "best CRM for startups". In social, they ask which sales creators on TikTok and YouTube get the most views and what their top videos are. In prospecting, they ask who posted about leaving their CRM this week. In competitive research, they ask what a competitor is running on Meta this week. And in community marketing, they ask for threads posted this month asking for a CRM. Manifold is for marketers, founders and growth teams doing SEO, AEO, social, ads or lead research, and it works with Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini CLI, Grok, OpenCode and any other client that supports remote MCP servers. Clients without OAuth use a Manifold API key instead. Pricing is easy to start: every new workspace gets 250 free credits, then a Pro plan from $20 a month for 2,500 credits, or Max at a lower rate per credit, with top-ups from $10 between renewals. Manifold is a marketing data MCP server founded in London in September 2026 by Jesse Sibley, and it is not related to Manifold Markets. Manifold MCP turns the AI assistant you already use into a marketing research and growth partner. One connection, one credit balance, and live data from Google, AI answers, Reddit, social platforms, ad libraries and lead sources — so your agent can answer in plain language, then help act on what it finds.