How to Use the Microsoft Ads MCP in AutoGen
Let AutoGen agents debate and optimize your Microsoft Ads campaigns through consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Microsoft Ads MCP to AutoGen
Create your Vinkius account to connect Microsoft Ads to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
AutoGen debate loops for Microsoft Ads budgets
This MCP tool, `list_ms_budgets`, feeds shared budget data directly into AutoGen's multi-agent conversations. A performance agent can argue for higher spend based on campaign metrics, while a budget agent references these limits to enforce safety guards. This consensus-driven model uses `get_ms_account_info` to verify account limits before making recommendations. The agents deliberate over actual budget data, ensuring no single agent can unilaterally suggest risky spend changes.
Analyze Microsoft Ads targeting settings via AutoGen
The `list_ms_targeting_settings` tool allows your AutoGen agents to inspect targeting configurations during their planning phase. A marketing agent can review current targeting while an analyst agent cross-references it with campaign performance. By combining `get_ms_campaign_details` with targeting data, the agents negotiate the best audience adjustments. The `McpToolAdapter` converts these schemas so your agents can debate the parameters in plain text.
Audit ad creative with AutoGen agent networks
The `list_ms_ads` tool provides the active ad copy that your AutoGen agents need to perform creative audits. One agent can analyze the copy for brand voice, while another checks if the associated keywords from `list_ms_keywords` match the ad text. They use `get_ms_ad_group_details` to verify the structure of the ad group before concluding their debate. This multi-perspective review ensures your ads are fully optimized before you take action.
Set up Microsoft Ads MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Microsoft Ads tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Microsoft Ads_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Microsoft Ads data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Microsoft Ads_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Microsoft Ads data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Microsoft Ads. 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 Microsoft Ads MCP in AutoGen
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