Integrate BrandMentions with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiAdd project on BrandMentions
Create a new project for daily tracking
Delete project on BrandMentions
Delete a project
Get influencers on BrandMentions
List influencers for a specific project
Get mentions on BrandMentions
Get full results for a completed search job
Get processed mentions on BrandMentions
Get partial results for a running search job
Get project mentions on BrandMentions
Retrieve mentions for a specific project
Get remaining credits on BrandMentions
Get current API credits limit/usage
List projects on BrandMentions
List all active campaigns/projects
Post search on BrandMentions
Start an on-the-spot search job
Security & Code Integrity Audit
Every tool in the BrandMentions MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
How do I see the influencers for my tracked project?
Simply ask the agent to get_influencers and provide the Project ID. It will return the list of top voices mentioning your brand.
Supported Use Cases for BrandMentions
The BrandMentions integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Optimizing social listening with Claude
Use the BrandMentions MCP to manage social listening requests. Models like Claude Code utilize this connection to perform reliable marketing automation updates.
Claude Code Integration for web monitoring
The BrandMentions MCP translates LLM intent into specific web monitoring actions. Agents like Cursor use this to interface securely with your marketing automation infrastructure.
BrandMentions. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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