How to Use the X Ads (Twitter) MCP in CrewAI

Q: How do I audit X Ads (Twitter) performance with CrewAI?

You set up a crew where one agent calls getanalytics and another summarizes the data. This autonomous process builds a comprehensive report on ad performance without needing manual steps.

Q: Can I list all active campaigns for X Ads (Twitter) with CrewAI?

Yes, give one agent the job of calling listcampaigns. The crew will gather this list and then pass it to a second agent who can begin detailed analysis on those assets.

Q: What if I need to audit specific ad accounts with X Ads (Twitter) and CrewAI?

The process is straightforward: one agent calls listadaccounts, and a subsequent specialized agent uses the resulting IDs to call getadaccount on every single account.

Q: Does this MCP Server help manage ad assets for X Ads (Twitter) and CrewAI?

It does. You use multiple tools—like listads, listlineitems, and listpromotedtweets—and assign different agents to handle each type of asset audit.

Run autonomous X Ads (Twitter) campaigns with specialized agents using CrewAI.

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Connect X Ads (Twitter) MCP to CrewAI

Create your Vinkius account to connect X Ads (Twitter) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup X Ads (Twitter) with CrewAI

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Autonomous Account Discovery for CrewAI

Build a team of agents to audit accounts. Agent A uses `list_ad_accounts` while Agent B uses `get_ad_account`. This specialized crew ensures the entire ad account portfolio is researched and validated automatically. The shared memory within CrewAI means that once one agent finds an issue with funding instruments via `list_funding_instruments`, another agent can immediately act on it without needing new input.

Multi-Agent Campaign Analysis using MCP Server

Need to analyze campaign performance? Agent A retrieves the list of campaigns using `list_campaigns`. Agent B then takes that list and calls `get_analytics` for each one. This role separation makes the process highly reliable. The monitoring agent watches these sessions, ensuring that if any necessary data (like line items via `list_line_items`) is missing, the moderator agent flags it immediately.

Full Ad Asset Lifecycle Management with CrewAI

Use a crew to manage the full lifecycle. One agent lists all ads using `list_ads`, another pulls promoted tweets via `list_promoted_tweets`. They collaborate on checking both assets against existing account structures. The sequential execution allows you to guarantee order: first list accounts, then list campaigns, and finally analyze specific ad components like line items or funding instruments.

Setup guide

Set up X Ads (Twitter) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke X Ads (Twitter) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="X Ads (Twitter) Analyst",
    goal="Access and analyze X Ads (Twitter) data via MCP.",
    backstory="Expert analyst with direct X Ads (Twitter) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent X Ads (Twitter) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="X Ads (Twitter) Analyst",
        goal="Access and analyze X Ads (Twitter) data via MCP.",
        backstory="Expert analyst with direct X Ads (Twitter) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent X Ads (Twitter) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by X Ads (Twitter). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about X Ads (Twitter) MCP in CrewAI

You set up a crew where one agent calls `get_analytics` and another summarizes the data. This autonomous process builds a comprehensive report on ad performance without needing manual steps.

Yes, give one agent the job of calling `list_campaigns`. The crew will gather this list and then pass it to a second agent who can begin detailed analysis on those assets.

The process is straightforward: one agent calls `list_ad_accounts`, and a subsequent specialized agent uses the resulting IDs to call `get_ad_account` on every single account.

It does. You use multiple tools—like `list_ads`, `list_line_items`, and `list_promoted_tweets`—and assign different agents to handle each type of asset audit.

The server touches ad account details, campaign structures, line items, funding instruments, and performance analytics. The primary data types are financial and advertising records.

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