
Marketing & SEO Research MCP
io.github.brunopetrellinz-techv1.0.0Updated Oct 6, 2026
Marketing research for AI agents: SEO audits, broken links, DNS, tech stack, App Store, products
Overview
AI-generated overview
Lets an assistant run marketing and SEO research tasks such as SEO audits, broken-link checks, DNS lookups, tech-stack detection, and App Store or product…
- What it does
- This remote MCP server exposes marketing research capabilities to an AI assistant. According to its description, it covers SEO audits, broken link checks, DNS lookups, technology stack detection, App Store data, and product research. Tools are not enumerated in the manifest, so the exact tool names and parameters are not documented here.
- When to use it
- Worth adding when an assistant needs to gather marketing, SEO, or competitive research data during a conversation, for example auditing a site's SEO, finding broken links, or checking a domain's DNS and technology stack.
- Requirements
- A remote MCP endpoint at mcp.apify.com over streamable HTTP; no local package or runtime is needed. Authentication uses an Authorization header containing a Bearer token with an Apify API token, or OAuth sign-in to Apify, in which case the header is not required.
Before you install
The Authorization header carries an Apify API token, a credential that should be treated as a secret. Requests are sent to a third-party remote service (Apify), so data passed to the tools leaves the user's machine. The manifest lists no tools, so review what each tool does before relying on it.
Installation
In SourceWeft
- Open Marketing & SEO Research MCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"marketing-research-mcp": {
"type": "http",
"url": "https://mcp.apify.com?tools=digital_influx/marketing-research-mcp"
}
}
}Tools
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Version history
1- v1.0.0LatestOct 6, 2026
