Supercharge your AI with BrandMentions. Manage brand campaigns from your chat window.
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…and any MCP-compatible client
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BrandMentions tracks brand sentiment and monitors social listening from anywhere. This MCP lets your AI agent manage entire brand campaigns—from setting up a new tracking project to pulling detailed mentions for competitor analysis or discovering key influencers—all without leaving your chat window.
What your AI can do
Add project
Creates a new, dedicated campaign to track brand keywords over time.
Delete project
Removes an existing tracking project from your account.
Get influencers
Lists the key people associated with a specific, active monitoring project.
Start an instant search job across web and social media for specific keywords.
Create, list, or delete structured campaigns to continuously monitor a brand or competitor over time.
Retrieve full and partial results for specific search jobs or entire ongoing projects.
List the top voices who are discussing your tracked keywords associated with a project.
Get real-time information on your remaining credits and API quotas.
Ask an AI about this
Compatible AI Apps
OAuth 2.0 Compatible Gemini Waiting for input…
BrandMentions: 9 Available Tools
These tools let your agent control every aspect of brand monitoring, from setting up new campaigns to retrieving final mention data.
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 BrandMentions on VinkiusAdd Project
Creates a new, dedicated campaign to track brand keywords over time.
Delete Project
Removes an existing tracking project from your account.
Get Influencers
Lists the key people associated with a specific, active monitoring project.
Get Mentions
Retrieves the complete set of results for a search job that has finished running.
Get Processed Mentions
Gets partial, real-time results while a large search job is still running.
Get Project Mentions
Retrieves all the mention data tied to a specific campaign project ID.
Get Remaining Credits
Checks your account's current API credit usage and limit.
List Projects
Shows a list of all the active monitoring campaigns you have set up.
Post Search
Starts an instant, one-time search job for a specific keyword or phrase.
Connect to your AI in seconds. Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token from
cloud.vinkius.com. For OAuth-protected servers, expand Advanced
settings to add credentials.
Start a conversation
Open a new chat. The BrandMentions integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with BrandMentions, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BrandMentions. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 connection provides 9 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Pain of Dashboard Switching
Today, checking brand mentions means a lot of clicking: You open the dashboard, select the correct campaign from a dropdown menu. Then you filter by date range, manually adjust the keyword list, and finally hit 'Run Report.' If you need to check a competitor's activity, you repeat this whole process for them, copying results into a master spreadsheet.
With this MCP, the workflow collapses entirely. You tell your agent exactly what to monitor—say, three competitors—and it handles the setup using `add_project`. When you’re ready, you simply ask for all mentions, and the data appears structured right where you are working.
BrandMentions MCP: Get Mentions Directly
Before this, getting a full report required multiple steps: checking if the job finished, navigating to the reports section, and finally generating a download link. It was slow and prone to missed clicks.
Now, you start the job using `post_search`. When prompted, just ask for the results using `get_mentions`. The data is delivered immediately into your chat context, ready for analysis.
What your AI can actually do with this
Monitoring your brand reputation used to mean logging into multiple dashboards, filtering keywords manually, and compiling data across several tabs. Now, you can talk to your AI client and handle all that work in one conversation. You tell the agent what keywords or competitors you need to track, and it runs the search job for you.
When the results are ready, you don't download a file; you ask for them. The system retrieves structured mention data, pinpoints the most influential voices discussing your brand, and lets you manage all active tracking campaigns. Because this MCP is hosted through Vinkius, connecting to any compatible AI client means you get access to professional-grade social listening tools without ever needing to open a browser tab.
It's pure conversational workflow.
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Here's how it actually works
The bottom line is that you manage complex monitoring tasks using natural language commands from your AI agent.
Subscribe to this MCP and provide your BrandMentions API Key.
Ask your AI agent to perform a task, like 'List all my active campaigns' or 'Start tracking the word X'.
The MCP executes the job, retrieving structured data (like mentions or influencers) directly into the chat interface.
Who is this actually for?
PR Managers who are tired of switching between their internal dashboard and their chat window. Brand Analysts needing to quickly validate sentiment shifts without writing a single query. Marketing Directors who need to set up, monitor, and audit multiple campaigns across different products.
Needs to check recent brand mentions during a crisis or product launch immediately, pulling the data into their communication thread.
Uses this MCP to run comparative analyses, setting up projects to track both their brand and key competitors side-by-side.
Manages the entire lifecycle of a campaign by creating new tracking projects and then requesting structured reports on influencer lists or mentions when the project is done.
What Changes When You Connect
Never leave the conversation to analyze data. You can use get_processed_mentions to pull in partial results while a search job is still running, keeping your workflow continuous.
Build structured monitoring efforts using add_project. This tool lets you set up campaigns for product launches or competitor tracking that run automatically over weeks, not just hours.
Identify who matters most. After setting up a project, simply asking to use get_influencers pulls back the top voices discussing your brand, saving research time.
Audit and report instantly using get_project_mentions. Instead of exporting data to Excel, you get structured mention lists directly in the chat for immediate analysis.
Keep track of costs with get_remaining_credits. This tool shows exactly how much API usage you have left before starting a big job.
See it in action
Crisis response monitoring
A PR Manager hears rumors about the company. They ask their agent to 'Start an instant search for keywords related to the rumor.' The system uses post_search and then allows them to use get_processed_mentions repeatedly until they have enough data to draft a statement.
Competitive deep dive
A Brand Analyst needs to compare their brand against two competitors. They first use add_project twice, once for each competitor's name, then use list_projects to confirm both are running. Later, they request all data using get_project_mentions.
Quarterly review prep
A Marketing Director needs a summary of the last quarter's discussions. They first use list_projects to identify the relevant campaign, then ask for all historical data using get_project_mentions and finally find top voices with get_influencers.
Quick check on a product name
Someone wants to know if there's chatter about a new product code. They use post_search for the exact phrase, then wait a few minutes and ask for results with get_mentions once the job is complete.
The honest tradeoffs
Treating it like a simple search bar
Just typing 'What are people saying about X?' and expecting one clean answer.
For an immediate, single-use check, use post_search. If you need to monitor that keyword for weeks as part of a larger effort, first run add_project to create a dedicated campaign.
Manually exporting data sets
Running the search job and then having to log into the separate BrandMentions dashboard just to download CSV files.
Once the project is active, ask your agent to use get_project_mentions or get_processed_mentions. The data comes back formatted right in the chat.
Forgetting what projects are running
Assuming all campaigns are still monitored and not knowing which ones were deleted.
Before referencing a project, always start by using list_projects to see exactly which campaigns are active.
When It Fits, When It Doesn't
Use this MCP if your primary need is monitoring and auditing external mentions. If you need to know what people are saying about a keyword or competitor over time, this tool set provides the mechanism: use add_project for continuous tracking, then rely on get_project_mentions when analysis time comes. Don't use it if your goal is internal data management; this isn't a CRM or database tool. If you just need to analyze a massive dump of text already in a spreadsheet, skip this and use a dedicated NLP service for classification. However, if the data lives on social media and you need structured project control, this MCP is what you need.
Questions you might have
How do I monitor a new competitor with BrandMentions MCP? +
You must first use the add_project tool to create a dedicated tracking campaign for that competitor. You can then ask your agent to list all active campaigns using list_projects to confirm it's running.
What is the difference between get_mentions and get_processed_mentions? +
get_mentions gets results only after a search job has fully completed. Use get_processed_mentions when you need partial, real-time updates while a large search job is still actively running.
Can I find top influencers using the BrandMentions MCP? +
Yes. After setting up and monitoring a project, use get_influencers to retrieve a list of key people who are discussing your brand within that specific campaign scope.
How do I check if my API credits are low using BrandMentions MCP? +
You call the get_remaining_credits tool. This will return a precise status update on your current usage and remaining allowance for running searches.
How do I set up a new tracking effort using the `add_project` tool? +
You run add_project to establish a dedicated container for your brand's data. This process creates a unique, isolated campaign ID where all future mentions and analytics will be stored.
If a tracking project is finished, should I use the `delete_project` tool? +
Yes, you run delete_project when a monitoring goal is complete or if the data is no longer needed. This action permanently removes all associated campaign records from your account.
What's the workflow for running a quick keyword search using `post_search`? +
post_search starts an immediate, on-demand job without needing to create a formal project first. It returns a tracking hash, which you must use later when checking the final results.
How do I pull all mention data for one specific campaign using `get_project_mentions`? +
You specify the exact project ID when calling get_project_mentions. This ensures you only retrieve structured mention data relevant to that single, defined tracking effort.
Can I perform a quick search for a brand name? +
Yes! Use the post_search action to trigger an immediate query. The tool will return a search hash, which you can then use with get_mentions to read the results.
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.
Does creating a search consume my account API credits? +
Yes, standard API billing applies. You can always use the get_remaining_credits tool to check your quota before running large queries.
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