mukul-dutt/mentionsapi-mcp
by Various
MCP server for MentionsAPI - brand visibility across every AI search surface (ChatGPT, Claude, Gemini, Perplexity, AI Overviews, AI Mode, Bing Copilot)
MCP
mukul-dutt/mentionsapi-mcp
Added 11 June 2026
Overview
An MCP server that wraps the MentionsAPI to track and monitor brand mentions across AI search surfaces including ChatGPT, Claude, Gemini, Perplexity, AI Overviews, AI Mode, and Bing Copilot. It allows developers to programmatically query brand visibility and aggregate results.
Best for
Best for
Brand managers and developers who need to track brand visibility across AI search surfaces programmatically
Use cases
- Monitor brand mentions across multiple AI search engines in real time
- Aggregate brand visibility data from ChatGPT, Claude, Gemini, and other AI surfaces
- Automate brand reputation checks using the MCP protocol
Notes
An MCP server that wraps the MentionsAPI to track and monitor brand mentions across AI search surfaces including ChatGPT, Claude, Gemini, Perplexity, AI Overviews, AI Mode, and Bing Copilot. It allows developers to programmatically query brand visibility and aggregate results.
0 stars on GitHub. Last updated 2026-06-10. Licensed MIT.
Use cases
- Monitor brand mentions across multiple AI search engines in real time
- Aggregate brand visibility data from ChatGPT, Claude, Gemini, and other AI surfaces
- Automate brand reputation checks using the MCP protocol
Pros
- Covers a wide range of AI search surfaces in one integration
- Automates brand monitoring without manual searches
- Uses the standard MCP protocol for easy integration with MCP-compatible tools
Cons
- Requires a MentionsAPI key and account to operate
- Limited to tracking mentions only on AI search surfaces, not traditional web search
- GitHub repository has zero stars, indicating low community adoption or early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of AI search surfaces in one integration
- Automates brand monitoring without manual searches
- Uses the standard MCP protocol for easy integration with MCP-compatible tools
Cons
- Requires a MentionsAPI key and account to operate
- Limited to tracking mentions only on AI search surfaces, not traditional web search
- GitHub repository has zero stars, indicating low community adoption or early stage
Pairs with
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