Bring Ad Serving
to LangChain
Create your Vinkius account to connect Kevel to LangChain and start using all 11 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.
Compatible with every major AI agent and IDE
What is the Kevel MCP Server?
Connect your Kevel (formerly Adzerk) account to any AI agent to streamline your ad serving operations. This MCP server allows your agent to manage advertisers, campaigns, flights, and inventory sites directly through natural language.
What you can do
- Campaign Management — List and retrieve detailed configurations for campaigns and flights
- Advertiser Oversight — Query and manage advertising entities and their metadata
- Inventory Control — List and inspect sites, zones, and channels to manage your ad placements
- Creative Audit — Access a comprehensive list of ad creatives and individual ad instances
- Format Exploration — List supported ad types and sizes to ensure correct technical implementations
How it works
- Subscribe to this server
- Enter your Kevel Management API Key (X-Adzerk-ApiKey)
- Start managing your ad server from Claude, Cursor, or any MCP client
Who is this for?
- Ad Operations Managers — Monitor campaign statuses and flight configurations on the fly
- Product Managers — Quickly check inventory availability and placement details without logging into the dashboard
- Ad Tech Engineers — Retrieve technical metadata for creatives and ad types during integration
Built-in capabilities (11)
Get details for a specific advertiser
Get details for a specific campaign
g., banner, native). List available ad types
List all ads
List all advertisers in Kevel
List all campaigns
List all channels
) uploaded to the account. List all creatives
List all flights
List all sites
List all zones
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Kevel through native MCP adapters. Connect 11 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 Kevel 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 Kevel queries for multi-turn workflows
Kevel in LangChain
Why run Kevel with Vinkius?
The Kevel 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 11 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 Kevel using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Kevel and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Kevel 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
Kevel for LangChain
Every request between LangChain and Kevel 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 see the flights associated with a campaign?
Yes, use the list_flights tool to get a full list of flights, which includes their parent campaign IDs and targeting metadata.
How do I check the status of my ad inventory sites?
The list_sites and list_zones tools provide real-time visibility into your inventory structure and the status of each placement.
Is it possible to list all uploaded creatives?
Absolutely. Use the list_creatives tool to retrieve a comprehensive list of all ad creatives configured in your Kevel account.
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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