Taboola MCP Server for LangChainGive LangChain instant access to 10 tools to Create Campaign, Create Campaign Item, Get Campaign, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Taboola through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Taboola MCP Server for LangChain is a standout in the Growth Engine category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"taboola": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Taboola, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Taboola MCP Server
Connect your Taboola Backstage account to any AI agent and take full control of your native advertising workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Taboola through native MCP adapters. Connect 10 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.
What you can do
- Account Management — List all allowed accounts and retrieve current user profile details
- Campaign Control — List, fetch, create, and update campaigns including budgets, CPC, and active status
- Ad Management — Manage campaign items (ads) by listing existing creatives or adding new URLs and thumbnails
- Performance Reporting — Run detailed campaign summary reports by dimension (day, week, month) or identify top-performing content
The Taboola MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Taboola tools available for LangChain
When LangChain connects to Taboola through Vinkius, your AI agent gets direct access to every tool listed below — spanning native-advertising, campaign-management, cpc, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create campaign on Taboola
Create a new Taboola campaign
Create campaign item on Taboola
Create a new campaign item (ad)
Get campaign on Taboola
Get details for a specific campaign
Get campaign summary report on Taboola
Get campaign summary report
Get current user on Taboola
Get current Taboola user details
Get top campaign content report on Taboola
Get top campaign content report
List allowed accounts on Taboola
List allowed Taboola accounts
List campaign items on Taboola
List items (ads) in a campaign
List campaigns on Taboola
List campaigns for an account
Update campaign on Taboola
Update an existing Taboola campaign
Connect Taboola to LangChain via MCP
Follow these steps to wire Taboola into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Taboola MCP Server
LangChain provides unique advantages when paired with Taboola through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Taboola MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Taboola queries for multi-turn workflows
Taboola + LangChain Use Cases
Practical scenarios where LangChain combined with the Taboola MCP Server delivers measurable value.
RAG with live data: combine Taboola tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Taboola, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Taboola tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Taboola tool call, measure latency, and optimize your agent's performance
Example Prompts for Taboola in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Taboola immediately.
"List all my Taboola accounts."
"Get a summary report for account 'act-9821' grouped by day."
"Update campaign 'camp-556' in account 'act-9821' to change the CPC to '0.45'."
Troubleshooting Taboola MCP Server with LangChain
Common issues when connecting Taboola to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTaboola + LangChain FAQ
Common questions about integrating Taboola MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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