Vinkius
Mention

Mention MCP. Monitor every mention, spot sentiment shifts.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Mention MCP on Cursor AI Code Editor MCP Client Mention MCP on Claude Desktop App MCP Integration Mention MCP on OpenAI Agents SDK MCP Compatible Mention MCP on Visual Studio Code MCP Extension Client Mention MCP on GitHub Copilot AI Agent MCP Integration Mention MCP on Google Gemini AI MCP Integration Mention MCP on Lovable AI Development MCP Client Mention MCP on Mistral AI Agents MCP Compatible Mention MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Mention monitors brand mentions across social media, blogs, and news in real time. It lets your AI client track sentiment, spot negative buzz, and monitor competitors automatically.

You can set up keyword alerts or search for specific content without leaving your chat window.

What your AI agents can do

Create monitoring alert

Sets up a new keyword alert, telling the system exactly what topic or phrase to watch for.

Favorite mention

Flags an important mention in your feed so you can easily find it later.

Get alert details

Retrieves specific information and status updates about a monitoring alert you already have running.

+ 9 more capabilities included
Search for specific content

Use search_mentions_by_keyword to instantly find mentions matching custom keywords across all tracked sources.

Manage keyword alerts

Create, list, and delete monitoring alerts using tools like create_monitoring_alert or list_monitoring_alerts to set up triggers for specific topics.

Analyze mention sentiment

Get real-time analysis of the tone (positive/negative) from any retrieved mention content via tools like get_mention_content.

Review and track findings

Use list_recent_mentions to pull a feed of all recent mentions, or call get_alert_details for specific alert metrics.

Supported MCP Clients

OAuth 2.0 Compatible
Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
Vinkius runs on Zendesk Zendesk
+ other MCP clients
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AI Agent

Mention MCP Server: 12 Tools for Reputation Tracking

These twelve tools let you monitor brand mentions, analyze sentiment, create keyword alerts, and manage campaign tracking directly through your AI agent.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Mention on Vinkius
create019dd123

create monitoring alert

Sets up a new keyword alert, telling the system exactly what topic or phrase to watch for.

favorite019dd123

favorite mention

Flags an important mention in your feed so you can easily find it later.

get019dd123

get alert details

Retrieves specific information and status updates about a monitoring alert you already have running.

get019dd123

get alert statistics

Checks the reach metrics, giving you numbers on how many people saw or talked about an alert topic.

get019dd123

get mention content

Reads all the details of a specific mention found online—the source, text, and timestamp.

get019dd123

get my profile

Pulls basic account information for confirmation or reporting purposes.

list019dd123

list active webhooks

Lists all the event configurations currently set up to push data to external services.

list019dd123

list monitoring alerts

Shows a list of every monitoring alert you've created and which ones are still active.

list019dd123

list recent mentions

Pulls the most recent mentions found across all sources into one view.

mark019dd123

mark mention as read

Changes the status of a mention in your dashboard, indicating that you have reviewed it.

remove019dd123

remove monitoring alert

Deletes an alert from your system when you no longer need to track that specific keyword or topic.

search019dd123

search mentions by keyword

Performs a targeted search across all monitored sources for a specific word or phrase.

Choose How to Get Started

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Start building

Make Your AI Do More

Start with Mention, then connect any of our 4,900+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,900+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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Mention MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mention. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Manually tracking brand mentions across seven different platforms is exhausting.

Right now, checking your reputation means logging into Twitter, then jumping to Reddit, then opening Google News, and cross-referencing all the hashtags in a spreadsheet. You're spending time copying URLs and manually changing filters—a process that guarantees you’ll miss critical mentions or negative sentiment because it takes too long.

With this MCP server, your agent handles the whole mess. It pulls data from every source automatically, aggregates it into one feed via `list_recent_mentions`, and provides immediate context on whether the tone is positive, neutral, or bad.

Search Mentions by Keyword: Pinpoint exact conversations in seconds.

If you're worried about a specific topic—say, 'data privacy policy'—you currently have to run five separate searches across different platforms. You might find mentions on Twitter but miss the deeper discussion happening on specialized industry blogs or forums.

The `search_mentions_by_keyword` tool fixes that. It runs one query against your entire monitored web, giving you a single, comprehensive list of every mention containing that phrase, no matter where it originated.

What you can do with this MCP connector

Mention lets your AI client monitor brand mentions across social media, blogs, and news sources in real time. You can set up triggers to watch for specific topics or phrases, letting you catch negative buzz or track competitor moves without even leaving your chat window.

Setting Up Your Watches (Alerts)

You don't have to manually check everything; you just need to tell the system what to look for. You use create_monitoring_alert when you want to set up a new keyword alert, telling it exactly which topic or phrase needs tracking. Once that’s done, you can run list_monitoring_alerts to pull up a list of every single monitoring alert you've got active.

If you need to change what you're watching, you first check the details using get_alert_details, and when you're done with a topic, you use remove_monitoring_alert to delete that specific trigger.

Checking Your Alert Performance

It ain't just about knowing if something was mentioned; it's about how big the deal was. You can check the reach metrics—the number of people who saw or talked about a topic—by calling get_alert_statistics. This gives you hard numbers on an alert’s visibility. If you wanna see what alerts are running right now, simply call list_active_webhooks to list all event configurations set up for pushing data out to other services.

Searching the Feed and Deep Diving into Mentions

Want a quick look at everything that went down in the last hour? Run list_recent_mentions; it pulls a feed of every mention found across all sources into one spot. If you're hunting for something specific, forget scrolling—you run search_mentions_by_keyword, which performs a targeted search across all monitored sites using your custom word or phrase.

When you see a mention that looks important—maybe it’s a great piece of PR or some negative garbage—you can use favorite_mention to flag it so you won't lose it later.

When you pull up any single mention, you get the full rundown using get_mention_content. This reads all the details for that specific post: where it came from (the source), what it says (the text), and exactly when it went live (the timestamp). When you've reviewed a piece of content, you run mark_mention_as_read to change its status in your dashboard.

Analyzing the Tone and Tracking Findings

Getting the raw text is only half the job. With any mention you pull up using get_mention_content, your agent can give you real-time analysis of the tone—whether it's positive or negative. You can also track all the alerts you’ve set up by calling list_monitoring_alerts to see a clear overview, and if you need to confirm basic account info for reporting purposes, just run get_my_profile.

If your system is tied into other tools that need constant data feeds, you use list_active_webhooks to verify all the event configurations are running smoothly.

Built · Hosted · Managed by Vinkius Mention MCP Server - Monitor Brand Mentions in Real Time Server ID 019dd123-60f0-730f-a877-745e4d9613b9
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Compliance Grade A+
Score 100/100
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Common Questions About Mention MCP

How do I set up monitoring alerts with Mention MCP Server? +

You use the create_monitoring_alert tool. You just tell your agent what keywords to watch for (e.g., 'pricing update'), and it handles setting up the persistent tracking.

What is the difference between list_recent_mentions and search_mentions_by_keyword? +

Listing recent mentions shows a time-based feed of everything that happened. Searching by keyword lets you filter the entire historical data set for one specific phrase, no matter when it was posted.

Can I check competitor performance with Mention MCP Server? +

Yes. You can create alerts and use get_alert_statistics to track mentions related to competitors, allowing you to compare their volume against your own brand's activity.

How do I see if an alert is still working? +

You run the list_monitoring_alerts tool. This shows all active alerts and allows you to use get_alert_details on any specific one to check its current status and metrics.

How do I check if my API access is valid using `get_my_profile`? +

Calling get_my_profile confirms your current account credentials and basic usage limits. It returns key details about your profile, confirming that the system recognizes your connection token and providing insight into your overall monitoring quota.

What extra data do I get when using the `get_mention_content` tool? +

You receive the full context of a mention, not just a snippet. This includes the source URL, the complete body text, and metadata like the exact time it was posted. You can analyze the content thoroughly.

How do I access deep performance metrics using `get_alert_statistics`? +

This tool gives you quantitative reach data beyond simple counts. It provides metrics on total impressions, unique sources, and time-based volume shifts. This helps you measure the true impact of your brand mentions.

What happens when I run `remove_monitoring_alert`? +

The tool immediately deletes the specified alert configuration from your account. Once removed, the system stops tracking and processing any data for that specific keyword or competitor set.

Can I monitor specific keywords and brands? +

Yes. Create alerts with boolean queries to track specific brand names, competitors, or industry hashtags.

How does Mention authentication work? +

Mention requires both an Access Token (Bearer) and an Account ID against api.mention.net/api/v1.

Does Mention provide sentiment analysis? +

Yes. Mentions are automatically tagged with positive, negative, or neutral sentiment scores.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Mention. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

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