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X Ads (Twitter) MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
X Ads (Twitter)
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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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Data-first architecture: LlamaIndex agents combine X Ads (Twitter) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain X Ads (Twitter) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query X Ads (Twitter), a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine X Ads (Twitter) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query X Ads (Twitter) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying X Ads (Twitter) for fresh data

04

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:

01

get_ad_account

Get details for a specific ad account

02

get_analytics

Get analytics for ad entities

03

list_ad_accounts

List X (Twitter) Ads accounts

04

list_ads

List ads for an ad account

05

list_campaigns

List campaigns for an ad account

06

list_funding_instruments

List funding instruments for an account

07

list_line_items

List line items for an ad account

08

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.

01

"List all my X ad accounts."

02

"Show me active campaigns for account ID xxxx."

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

X Ads (Twitter) + LlamaIndex FAQ

Common questions about integrating X Ads (Twitter) MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query X Ads (Twitter) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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.