AiMatch

Manifold MCP

Manifold connects MCP-compatible AI assistants to live SEO, AI-answer, social, ad, and lead-research data. Marketing and growth teams use it to get data-backed findings and draft next steps in their existing agent chat.

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Who it's for

  • SEO teams that want to query keyword rankings, competitors, backlinks, and page-improvement opportunities from an MCP-compatible AI client.
  • Marketing teams checking whether AI assistants recommend their brand or cite their pages for buyer questions.
  • Growth and sales teams researching social creators, competitor ads, Reddit discussions, or people posting about a relevant buying need.

Not the right fit if…

  • Teams that need a content scheduler or autoposter: Manifold explicitly describes itself as marketing data for an agent, not a scheduler or autoposter.

How it fits your workflow

Connect Manifold to a supported remote-MCP client using its MCP URL, then sign in. Clients without OAuth use a Manifold API key.

Ask a question in the agent chat. The agent selects tools that fetch relevant data from providers and platforms, such as keyword rankings, AI answers, social posts, ads, or leads.

The agent returns findings in the chat. Users can ask it to draft materials such as blog posts, Reddit replies, ad copy, or outreach emails, then review and use those drafts themselves.

Pricing

Free: Every new workspace receives 250 free credits. Tool calls draw from one credit balance, and the page says each tool shows its price before running.

Free

Free to start; each new workspace gets 250 credits.

  • · 250 credits for each new workspace

Pro

From $20 per month for 2,500 credits.

  • · 2,500 credits

Max

Price not specified; the page says it offers a lower rate per credit.

  • · Lower rate per credit than the stated Pro plan

Credit top-up

Top-ups from $10 between renewals.

  • · Add credits between plan renewals

Prices checked on Oct 12, 2026 from the vendor's site. They can change; confirm before you buy.

Key features

SEO and search data
Look up keyword rankings, competitors, backlinks, and opportunities to improve pages, using data fetched from specialist providers.
AI-answer visibility checks
Ask whether AI assistants recommend a brand for a prompt, which brands they name, their positions, and which pages they cite. Supported sources listed include ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
Social and creator research
Search social posts and discover creators and videos on platforms including TikTok, YouTube, and Instagram, with audience information and video transcripts described on the page.
People and lead research
Find relevant posts on LinkedIn and X and retrieve authors’ verified work email addresses.
Advertising research
Retrieve competitors’ live ads from Meta and Google, including ad copy and how long an ad has been running.
Reddit research
Find Reddit threads asking for recommendations related to a product and read replies; the agent can also draft a response.

Works with

  • Claude
  • ChatGPT
  • Cursor
  • Claude Code
  • Codex, Gemini CLI, Grok, and OpenCode
  • Marketing data sources

Limitations to know

  • Manifold provides data for an AI agent to use; it is not a content scheduler or autoposter.
  • Tool calls consume credits, and the page says AI-answer checks are charged per prompt and engine.
  • Results are cached briefly, with most cached for a day to a week, so they are not necessarily refreshed on every repeated question.
  • Clients without OAuth require a Manifold API key.

Alternatives to consider

  • Superlines

    Choose it if your primary need is AI-search brand visibility measured from real user-interface outputs and governed through a dedicated platform, API, or MCP server.

Compare Manifold MCP side by side

Getting started

claude mcp add --transport http manifold

An AI client that supports remote MCP servers. Clients without OAuth use a Manifold API key.

  1. Choose a supported MCP client, such as Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini CLI, Grok, or OpenCode.
  2. Connect the client to https://mcp.manifoldmcp.com/mcp; in Claude, add the URL as a custom connector and sign in.
  3. In Claude Code, run `claude mcp add --transport http manifold` followed by the MCP URL.
  4. Ask the agent a marketing question and review the returned data in the chat.

Frequently asked questions

What is Manifold?

It is a hosted MCP server that gives AI agents live marketing data, including search rankings, AI answers about a brand, social posts and videos, Reddit threads, live competitor ads, and company and people research.

Does Manifold publish or schedule content?

No. The page says Manifold supplies data that an agent can use to draft content in the chat, but Manifold is not a scheduler or autoposter.

How much does Manifold cost?

New workspaces get 250 free credits. Pro starts at $20 per month for 2,500 credits; Max offers a lower rate per credit, with no exact price stated. Credit top-ups are available from $10 between renewals.

Which AI apps work with Manifold?

The page lists Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini CLI, Grok, OpenCode, and other clients that support remote MCP servers.

Do I need my own API keys for Reddit, LinkedIn, or SEO data?

The page says Manifold is hosted and uses its own provider accounts, so users do not need a Reddit API app, LinkedIn login, or DataForSEO deposit. Clients without OAuth use a Manifold API key instead.

Can Manifold check whether an AI assistant recommends my brand?

Yes. The page says an agent can query ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews on demand and report which brands are named, their position, and the pages cited.

Where does Manifold get its data?

The page says data is fetched live from specialist providers when requested. Search, keyword, backlink, and AI-answer data come from DataForSEO; social and ad-library data come from platforms’ public data. Results are cached briefly, usually from a day to a week.