Connect your AI agent to Ahrefs MCP
Analyze backlinks, organic search performance, keywords, competitors, rankings, and other SEO data through Ahrefs' hosted MCP server.
Set it up in Melso
- 1In Melso, open Settings → Agent Apps and hit Connect on Ahrefs MCP.
- 2Finish the DCR_OAUTH sign-in in the window that opens. Melso stores the connection, not your credentials.
- 3Open your agent, go to its Agent Apps tab, and allow Ahrefs MCP.
- 4Give the agent a task. It calls Ahrefs MCP itself when the work needs it.
What Ahrefs MCP gives your agent
The tools, permissions, and events Ahrefs MCP exposes — the same ones your agent can use once the app is authorized.
What you sign in with
Ahrefs MCP connects with DCR_OAUTH.
Permissions
Tools Ahrefs MCP exposes
Batch-analysis
Performs a batch analysis of multiple URLs, domains, or subdomains to retrieve selected SEO, backlink, organic, and paid traffic metrics. When analyzing a domain name, you must use mode=subdomains. Using mode=domain can exclude www and other subdomains. Use doc tool first to get the real input schema.
Brand-radar-ai-responses
Provides questions asked to AI assistants and the corresponding AI-generated responses that mention your brand or competitors’ brands, including cited sources and search volume estimates. Prefer using the equivalent 'brand-radar-ai-responses-entities' tool since the inputs are more descriptive. Use doc tool first to get the real input schema.
Brand-radar-ai-responses-entities
Provides questions asked to AI assistants and the corresponding AI-generated responses that mention your brand or competitors’ brands, including cited sources and search volume estimates. Prefer using this tool instead of the non '*-entities' tool, since you can more accurately describe brands/competitors with multiple names and/or their websites. Use doc tool first to get the real input schema.
Brand-radar-citations-history-entities
Provides the historical number of citations for your and competitors' brand URLs in an LLM you specify. Every entity provided in `brands` (and `competitors`, when applicable) must include at least one value in `url_groups`. Entities consisting only of `names` are not supported here because citations are matched against URL groups. Prefer using this tool instead of the non '*-entities' tool, since you can more accurately describe brands/competitors with multiple names and/or their websites. Use doc tool first to get the real input schema.
Brand-radar-citations-overview-entities
Provides the number of citations for your and competitors's brands in an LLM you specify, with filters for locations, query text, URL, and more. Every entity provided in `brands` (and `competitors`, when applicable) must include at least one value in `url_groups`. Entities consisting only of `names` are not supported here because citations are matched against URL groups. Prefer using this tool instead of the non '*-entities' tool, since you can more accurately describe brands/competitors with multiple names and/or their websites. Use doc tool first to get the real input schema.
Brand-radar-cited-domains
Provides domains cited in AI-generated responses that mention your brand or competitors' brands in an LLM you specify, including how many responses referenced each domain (broken down by brand) and estimated monthly search volume where each domain was mentioned. Prefer using the equivalent 'brand-radar-cited-domains-entities' tool since the inputs are more descriptive. Use doc tool first to get the real input schema.
Brand-radar-cited-domains-entities
Provides domains cited in AI-generated responses that mention your brand or competitors' brands in an LLM you specify, including how many responses referenced each domain (broken down by brand) and estimated monthly search volume where each domain was mentioned. Prefer using this tool instead of the non '*-entities' tool, since you can more accurately describe brands/competitors with multiple names and/or their websites. Use doc tool first to get the real input schema.
Brand-radar-cited-pages
Provides the pages cited in AI-generated responses that mention your brand or competitors' brands in an LLM you specify, including how many responses referenced each page (broken down by brand) and estimated monthly search volume where each page was mentioned. Prefer using the equivalent 'brand-radar-cited-pages-entities' tool since the inputs are more descriptive. Use doc tool first to get the real input schema.
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