X Ads (Twitter) MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add X Ads (Twitter) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 X Ads (Twitter). "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in X Ads (Twitter)?"
)
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 X Ads (Twitter) MCP Server
Empower your AI agent to orchestrate your entire advertising ecosystem on X (formerly Twitter) with X Ads, the platform for engaging with the global conversation in real-time. By connecting X Ads to your agent, you transform complex campaign management into a natural conversation. Your agent can instantly list your ad accounts, audit line item performance, and retrieve detailed analytics without you ever touching a dashboard. Whether you are driving website traffic or scaled video views, your agent acts as a real-time ad analyst, ensuring your marketing is always optimized and trend-aware.
LlamaIndex agents combine X Ads (Twitter) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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 Auditing — List all ad accounts in your profile and retrieve detailed metadata, including status and funding instruments.
- Campaign Oversight — List and audit campaigns, line items, and individual ads to maintain a structured view of your efforts.
- Performance Intelligence — Retrieve detailed advertising analytics with flexible dates and metric groups to understand ROI.
- Creative Governance — List promoted tweets and creative assets to ensure your content is correctly published and active.
- Operational Monitoring — Quickly retrieve account-wide information to maintain strict organizational control.
The X Ads (Twitter) MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect X Ads (Twitter) to LlamaIndex via MCP
Follow these steps to integrate the X Ads (Twitter) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from X Ads (Twitter)
Why Use LlamaIndex with the X Ads (Twitter) MCP Server
LlamaIndex provides unique advantages when paired with X Ads (Twitter) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine X Ads (Twitter) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain X Ads (Twitter) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query X Ads (Twitter), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what X Ads (Twitter) tools were called, what data was returned, and how it influenced the final answer
X Ads (Twitter) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the X Ads (Twitter) MCP Server delivers measurable value.
Hybrid search: combine X Ads (Twitter) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query X Ads (Twitter) 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 X Ads (Twitter) for fresh data
Analytical workflows: chain X Ads (Twitter) queries with LlamaIndex's data connectors to build multi-source analytical reports
X Ads (Twitter) MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect X Ads (Twitter) to LlamaIndex via MCP:
get_ad_account
Get details for a specific ad account
get_analytics
Get analytics for ad entities
list_ad_accounts
List X (Twitter) Ads accounts
list_ads
List ads for an ad account
list_campaigns
List campaigns for an ad account
list_funding_instruments
List funding instruments for an account
list_line_items
List line items for an ad account
list_promoted_tweets
List promoted tweets for an account
Example Prompts for X Ads (Twitter) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with X Ads (Twitter) immediately.
"List all my X ad accounts."
"Show me active campaigns for account ID xxxx."
"Get an engagement report for last week."
Troubleshooting X Ads (Twitter) MCP Server with LlamaIndex
Common issues when connecting X Ads (Twitter) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpX Ads (Twitter) + LlamaIndex FAQ
Common questions about integrating X Ads (Twitter) 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?
Connect X Ads (Twitter) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect X Ads (Twitter) to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
