How to Use the Certify (Emburse) MCP in AutoGen

Q: How do I register Certify (Emburse) tools with AutoGen?

Use mcpservertools with StreamableHttpServerParams pointing to your endpoint. Pass the resulting tool list directly into your AssistantAgent constructor.

Q: Can AutoGen agents collaborate to find a Certify (Emburse) receipt?

Yes, one agent can query listcertifyreceipts while another calls listcertifyexpenses. They compare notes in their chat history to match the receipt image to the correct expense line.

Q: How does AutoGen handle the schemas of Certify (Emburse) tools?

The McpToolAdapter automatically translates the server's tool schemas into the format AutoGen expects. Your agents can immediately understand how to call tools like listinvoicereports.

Let AutoGen agents debate and reconcile Certify (Emburse) expenses and invoices autonomously.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Certify (Emburse) MCP to AutoGen

Create your Vinkius account to connect Certify (Emburse) 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.

GDPR Free for Subscribers

Setup Certify (Emburse) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit Certify (Emburse) spend via AutoGen debates

This MCP server exposes `list_expense_reports` and `list_certify_expenses` to fuel multi-agent conversations. An auditor agent checks reports for compliance while a budget agent flags overruns, debating until they reach a consensus. By feeding raw expense data to multiple specialized agents, you get a deeper analysis of spend. The agents argue their cases using the exact numbers returned by the server tools.

Validate invoices with the AutoGen MCP Server

This MCP server provides `list_certify_invoices` and `list_invoice_reports` to let your agents cross-examine accounts payable records. One agent parses invoice details while another checks them against company policy. The agents negotiate whether to approve an invoice for payment based on the data. This consensus-driven approach ensures that no invoice gets marked as paid without rigorous automated inspection.

Match users to GL dimensions in agent debates

This MCP server connects `list_certify_users` and `get_gl_dimensions` to your AutoGen agent conversations. Your agents use these tools to confirm that the employee submitting an invoice belongs to the correct general ledger code. If a user maps to the wrong ledger category, a compliance agent flags the error during the conversation. The agents then work together to suggest the correct GL dimension based on the user's department.

Setup guide

Set up Certify (Emburse) 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 Certify (Emburse) 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="Certify (Emburse)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Certify (Emburse)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 Certify. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Certify (Emburse) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Certify (Emburse) MCP in AutoGen

Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your endpoint. Pass the resulting tool list directly into your `AssistantAgent` constructor.

Yes, one agent can query `list_certify_receipts` while another calls `list_certify_expenses`. They compare notes in their chat history to match the receipt image to the correct expense line.

The `McpToolAdapter` automatically translates the server's tool schemas into the format AutoGen expects. Your agents can immediately understand how to call tools like `list_invoice_reports`.

The adapter supports both stdio and Streamable HTTP transports. Since Vinkius hosts the server, you will use the Streamable HTTP transport with your secure endpoint token.

All transactions and lookups occur within an ephemeral, zero-trust V8 sandbox. This ensures that sensitive employee names, department IDs, and financial records are never exposed to external networks during agent debates.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript