Bring Social Listening
to LangChain
Create your Vinkius account to connect BrandMentions to LangChain and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the BrandMentions MCP Server?
Connect your BrandMentions social listening account to any AI agent and orchestrate your brand monitoring workflows through natural conversation.
What you can do
- On-the-Spot Searches — Trigger immediate web and social media searches for specific keywords and retrieve the results instantly.
- Campaign Management — List all your active tracking projects or create new ones to continuously monitor your brand or competitors.
- Mention Auditing — Retrieve detailed mentions and sentiment analysis for your ongoing projects.
- Influencer Discovery — List key influencers associated with your tracked keywords and projects.
- Credit Tracking — Check your API limits and remaining credits in real-time.
How it works
- Subscribe to this server
- Enter your BrandMentions API Key
- Start monitoring the web from Claude, Cursor, or any MCP-compatible client
Who is this for?
- PR & Marketing Teams — quickly check recent mentions and brand sentiment without opening the main dashboard.
- Brand Managers — set up new tracking campaigns for product launches straight from their workflow tools.
- Analysts — retrieve structured mention data and influencer lists using natural language.
Built-in capabilities (9)
Create a new project for daily tracking
Delete a project
List influencers for a specific project
Get full results for a completed search job
Get partial results for a running search job
Retrieve mentions for a specific project
Get current API credits limit/usage
List all active campaigns/projects
Start an on-the-spot search job
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with BrandMentions through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine BrandMentions MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across BrandMentions queries for multi-turn workflows
BrandMentions in LangChain
Why run BrandMentions with Vinkius?
The BrandMentions connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect BrandMentions using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
BrandMentions and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect BrandMentions to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
BrandMentions for LangChain
Every request between LangChain and BrandMentions is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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