How to Use the Coupa MCP in AutoGen

Q: How do I give my AutoGen agents access to the Coupa tools?

After installing autogen-extmcp, use the mcpservertools function with your server URL. This returns a list of tools that you can pass directly to the tools parameter of an AssistantAgent.

Q: Can multiple agents use Coupa tools in one AutoGen conversation?

Yes, that's the primary use case. You can create a GroupChat where one agent with read-only tools like listpurchaseorders provides data to another agent with write-access tools like approvepurchaseorder.

Q: What data is exposed when my AutoGen agents discuss Coupa supplier details?

The MCP server handles the direct API calls for tools like getsupplierdetails. The supplier's profile data, including names, tax IDs, and contacts, is then passed into the AutoGen conversation context. That data will be visible to all agents participating in that specific chat.

Assemble teams of AutoGen agents to debate and execute complex Coupa procurement tasks, from sourcing to payment.

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Agents That Debate Procurement Decisions

This isn't about one agent following a script. With AutoGen, you create a team. A 'Finance' agent might use `list_invoices` to check a supplier's payment history, while a 'Logistics' agent uses `get_purchase_order` to check shipping terms. They then discuss the findings before proceeding. Imagine creating a new PO. The 'Procurement' agent wants to use `create_purchase_order` immediately. But a 'Compliance' agent might first insist on using `list_contracts` to verify terms. They'll converse until they reach a consensus that satisfies both their rules.

Define Agent Roles for Coupa Workflows

You can build specialized agents. Give one agent access only to `approve_purchase_order`, making it your designated 'Approver'. Another agent might only have `list_suppliers` and `get_supplier_details`, acting as a 'Sourcing Analyst'. This separation of duties is powerful. The Approver agent can't create POs, and the Analyst can't approve them. The workflow emerges from their conversation, ensuring that no single agent has too much power and that checks and balances are built in.

Your AutoGen MCP Server for Coupa

You act as the manager, overseeing the agent conversation. If they get stuck, you can step in. Or you can create a 'SysAdmin' agent that has exclusive access to `query_coupa_resource` for hitting any Coupa API endpoint to resolve complex edge cases the other agents can't handle. This model allows you to automate nuanced decisions that would be impossible with a single agent. The final action, like calling `create_purchase_order`, is the result of a documented debate, giving you an auditable trail of the 'why' behind the action.

Setup guide

Set up Coupa 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Coupa tools and returns structured results.

agent.py

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="Coupa_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Coupa data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Coupa_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Coupa data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Coupa. 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 Coupa MCP in AutoGen

After installing `autogen-ext[mcp]`, use the `mcp_server_tools` function with your server URL. This returns a list of tools that you can pass directly to the `tools` parameter of an `AssistantAgent`.

Yes, that's the primary use case. You can create a `GroupChat` where one agent with read-only tools like `list_purchase_orders` provides data to another agent with write-access tools like `approve_purchase_order`.

AutoGen excels at tasks that require deliberation. If a procurement decision has tradeoffs, like cost vs. supplier reliability, you can create agents to represent those perspectives and have them debate the best solution for Coupa.

Absolutely. The entire conversation between agents is logged. You can see exactly why the 'Finance' agent flagged an invoice or why the 'Procurement' agent chose a specific supplier before creating the purchase order.

The MCP server handles the direct API calls for tools like `get_supplier_details`. The supplier's profile data, including names, tax IDs, and contacts, is then passed into the AutoGen conversation context. That data will be visible to all agents participating in that specific chat.

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