Manifold MCP

Not yet independently verified. The launch date rests on the maker's own Product Hunt launch of 12 October 2026, which its site announces. Pricing comes from the maker's pricing page. Manifold here is the marketing data server at manifoldmcp.com and is not affiliated with Manifold Markets. No independent report was found. We will update this when it can be confirmed, and remove this note.

Manifold is a hosted MCP server that gives an AI agent live marketing data, launched on Product Hunt on 12 October 2026, where it ranked sixth for the day. Connected once to a compatible assistant, the agent can look up search rankings, 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. Its terms state that every tool is read-only: Manifold reports data and does not publish, post or send anything.

What it does

The site lists separate servers for LinkedIn, Reddit, YouTube, Instagram, Facebook, X, TikTok, SEO, Google Search Console, Google Analytics, Bing Webmaster Tools and AI visibility. The agent drafts blog posts, replies, ad copy and outreach from the returned numbers, and the user checks the drafts. Each tool states its credit price before it runs, and an agent can cap what a call spends. The terms say the data comes from third-party providers and that the service is meant for use in a business. The site also says it is not affiliated with Manifold Markets.

Who it is for

It suits marketers, founders and small agencies who already work through an AI assistant and want live numbers in the chat instead of switching between tools.

Key facts

• Maker: Manifold; the terms give jesse@manifoldmcp.com as the contact
• Pricing: 250 free credits once; Pro from $20 a month for 2,500 credits; Max at a lower rate per credit; top-ups from $10
• Billing: credits not seats; failed calls that find nothing wrong with the input are not charged
• Credits: plan credits reset monthly, top-up credits do not expire
• Questions to ask: which data providers sit behind each tool, how fresh the data is, and what happens to queries