Taboola MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Campaign, Create Campaign Item, Get Campaign, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Taboola as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Taboola MCP Server for LlamaIndex 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
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Taboola. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Taboola?"
)
print(response)
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.
LlamaIndex agents combine Taboola tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Taboola into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Taboola MCP Server
LlamaIndex provides unique advantages when paired with Taboola through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Taboola tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Taboola tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Taboola, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Taboola tools were called, what data was returned, and how it influenced the final answer
Taboola + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Taboola MCP Server delivers measurable value.
Hybrid search: combine Taboola real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Taboola to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Taboola for fresh data
Analytical workflows: chain Taboola queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Taboola in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Taboola to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTaboola + LlamaIndex FAQ
Common questions about integrating Taboola MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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