How do I find my X Ads Access Token?

You must create a developer account at [**developer.x.com**](https://developer.x.com/), create a Project/App, and perform the OAuth flow to generate a Bearer Token. Copy and paste it below.

Can the agent list my promoted tweets?

Yes. Use the `list_promoted_tweets` tool providing your Ad Account ID. Your agent will retrieve metadata for all tweets currently being used in your advertising campaigns.

Is it possible to see analytics for specific line items?

Yes. The `get_analytics` tool allows your agent to fetch daily performance metrics for specific entity IDs (campaigns, line items, or ads) by providing a date range.

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

Name: X Ads (Twitter)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect X Ads (Twitter) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import 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({
        "x-ads-twitter": {
            "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 X Ads (Twitter), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with X Ads (Twitter) through native MCP adapters. Connect 8 tools via the 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 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 LangChain 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 LangChain via MCP

Follow these steps to integrate the X Ads (Twitter) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from X Ads (Twitter) via MCP

Why Use LangChain with the X Ads (Twitter) MCP Server

LangChain provides unique advantages when paired with X Ads (Twitter) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine X Ads (Twitter) 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 X Ads (Twitter) queries for multi-turn workflows

X Ads (Twitter) + LangChain Use Cases

Practical scenarios where LangChain combined with the X Ads (Twitter) MCP Server delivers measurable value.

RAG with live data: combine X Ads (Twitter) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query X Ads (Twitter), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain X Ads (Twitter) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every X Ads (Twitter) tool call, measure latency, and optimize your agent's performance

X Ads (Twitter) MCP Tools for LangChain (8)

These 8 tools become available when you connect X Ads (Twitter) to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting X Ads (Twitter) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

X Ads (Twitter) + LangChain FAQ

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

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.