Vinkius

Brandwatch MCP. Analyze social trends and consumer sentiment by query.

Brandwatch connects social listening data directly into your AI agent. This MCP lets you analyze brand mentions, track competitor activity, and visualize market trends using natural conversation. List projects, check raw social mentions by query, or get volume aggregates to see how sentiment changes over time—all without leaving your workflow.

Brandwatch MCP is compatible with Claude Claude
Brandwatch MCP is compatible with ChatGPT ChatGPT
Brandwatch MCP is compatible with Cursor Cursor
Brandwatch MCP is compatible with Gemini Gemini
Brandwatch MCP is compatible with Windsurf Windsurf
Brandwatch MCP is compatible with VS Code VS Code
Brandwatch MCP is compatible with JetBrains JetBrains
Brandwatch MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Check active research projects

List and retrieve detailed information about your brand's ongoing research projects and dashboards.

Review configured search queries

Access all the custom search queries you set up to monitor specific industry trends or brand health.

Retrieve raw social mentions

Query and inspect individual social media posts based on a defined query and date range.

Analyze mention volume over time

Get aggregated data to track how the total number of brand mentions changes, helping you spot trends or sudden spikes.

Categorize social data

List existing categorization tags or create new ones to keep your massive pool of social data organized.

Waiting for input…

AI Agent
Brandwatch

What AI agents can do with Brandwatch with 8 Tools

Use these eight tools to manage projects, run queries, categorize data, and pull detailed social mention metrics into your AI workflow.

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 Brandwatch MCP

Create Tag

Adds a new category tag to help organize mentions and social data records.

Get Mentions

Fetches specific raw social media posts based on your defined search query.

Get Project

Retrieves detailed information about a single, specified research project.

Get Volume Aggregates

Calculates the total number of mentions over time for a given search query.

List Dashboards

Displays all available dashboards within an active research project.

List Projects

Provides a list of every ongoing and completed brand research project.

List Queries

Shows all the custom search queries that are currently configured within your project.

List Tags

Retrieves a list of every tag already available for categorization in the current...

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.

Brandwatch MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

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.

3

Start a conversation

Open a new chat. The Brandwatch 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 each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Brandwatch, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Brandwatch 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 Brandwatch. 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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Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The tedious manual process of social listening

Right now, tracking brand sentiment feels like detective work done with sticky notes. You jump between the Brandwatch dashboard and your spreadsheet, copy-pasting raw data into a new tab just to count spikes. Every time you want to compare last quarter’s performance against this month’s, it means another manual filter and a headache of conflicting numbers.

With this MCP, that whole process vanishes. You ask your agent for the comparison directly, pulling volume aggregates across multiple dates. The outcome is clean: instant trend analysis delivered right in your conversation window.

Brandwatch MCP gives you complete social intelligence

You eliminate hours spent just navigating menus, manually filtering dashboards, and exporting data to fix formatting issues. You no longer waste time figuring out which project ID belongs to which set of queries.

What's different now is that you stop analyzing *data* and start analyzing *insights*. Your agent does the heavy lifting; you just read the conclusion.

What Brandwatch MCP does for your AI

Brandwatch gives you a direct line into consumer research, letting you stop relying on clunky dashboards and manual exports. Your AI agent handles the heavy lifting of analyzing millions of data points about your brand and your competitors. Need to know what people are saying right now? You can query raw social mentions based on specific keywords or date ranges, giving you an immediate pulse check on your market health.

Want to see if a campaign worked last quarter? Just ask for volume aggregates; the agent tracks mention spikes and overall trend changes over time. Even organizing data is simple; you can list available tags or create new ones right within your chat. Connecting Brandwatch through Vinkius means you get all this sophisticated social data analysis, orchestrated entirely through natural conversation, no matter which AI client you prefer.

Built · Hosted · Managed by Vinkius Brandwatch-MCP - Track Social Mentions & Trends
Server ID 019d7562-87fe-7276-bea2-200b255f00e7
Vinkius Inspector
Compliance Grade F
Score 3.6/100
Vinkius Inspector Badge — Score 3.6/100

Frequently asked questions about Brandwatch MCP

How do I find out what projects are currently running with Brandwatch MCP? +

You use list_projects. This tool quickly lists all active research initiatives in your account, so you know exactly where to focus your analysis.

Can the Brandwatch MCP give me a total count of mentions over time? +

Yes, run get_volume_aggregates. You just need to specify the query and date range; it will calculate and provide the overall mention volume trend.

What is the difference between list_queries and list_tags in Brandwatch MCP? +

list_queries shows your search terms (what you are looking for), while list_tags shows how people have already categorized the data after it's been found.

How do I retrieve specific raw posts using Brandwatch MCP? +

You use get_mentions. This tool allows you to pull the actual social media content for a precise query and time frame, rather than just getting a number.

Does the Brandwatch MCP help me organize my data? +

It does. You can use create_tag to define new categories or list_tags to see what organization structures are already in place for your mentions.