How to Use the Nubarium MCP in AutoGen
Let AutoGen agents debate and verify Mexican corporate records and tax identities with consensus-driven accuracy.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Nubarium MCP to AutoGen
Create your Vinkius account to connect Nubarium 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.
Consensus-Driven RFC Verification in AutoGen
`validate_mex_rfc` provides the raw tax registration data that your AutoGen agents analyze and debate during onboarding. A compliance agent can challenge the validity of an RFC, while a database agent checks if the record already exists in your internal tables. This multi-agent conversation ensures that no business gets approved without a consensus. The agents cross-reference the tax ID status and only proceed when all parties agree the corporate entity is active and legitimate.
Multi-Agent Audits of Legal Representatives
`validate_mex_legal_representative` is called by your AutoGen auditing agent to verify if a signer has the legal authority to act for a company. A separate security agent reviews this output, comparing the CURP and RFC association against fraud patterns before signing off. By separating the retrieval and verification roles among different agents, AutoGen minimizes compliance risks. The agents coordinate their checks, ensuring that legal power is fully vetted before triggering contract generation.
Collaborative Corporate Investigations
`search_mex_companies` initiates a multi-agent investigation when your team needs to vet a new supplier in Mexico. One agent searches for the company name, another calls `get_mex_company_details` to pull the full registration, and a third agent tracks API usage. This distributed workflow prevents any single agent from bottlenecking your system. The agents communicate in a structured loop, compiling a final verification report that includes company status, legal reps, and API costs.
Set up Nubarium 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 Nubarium 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="Nubarium_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Nubarium 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="Nubarium_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Nubarium 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 Nubarium. 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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