How to Use the ShangQian / 上上签 (BestSign) MCP in AutoGen

Q: If I need to manage user identities with ShangQian / 上上签 (BestSign) using AutoGen?

You can set up a 'Security Agent' that mandates the use of verifyidentityv2 before any agent is allowed to proceed with creating or signing contracts.

Drive consensus on contract signing workflows with AutoGen and ShangQian / 上上签 (BestSign).

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Connect ShangQian / 上上签 (BestSign) MCP to AutoGen

Create your Vinkius account to connect ShangQian / 上上签 (BestSign) to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ShangQian / 上上签 (BestSign) with AutoGen

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Multi-Agent Contract Generation Debate

You set up agents that debate the best path for a contract. A drafting agent might propose using `create_shangqian_contract`, but a compliance agent will challenge it, forcing an immediate call to `verify_identity_v2`. This simulates real-world legal review. The outcome isn't just the tool output; it’s the consensus reached after agents negotiate and refine the contract based on rules.

Automated Dispute Resolution & Review

Build a system where an 'Auditor Agent' reviews the results of `get_contract_details` against defined policies. If discrepancies are found, it forces a second opinion from a specialized agent that attempts to resolve the conflict using available tools. This pattern is perfect for complex scenarios where simple sequential calling isn't enough; deliberation is required.

Workflow Orchestration and Template Management

You can create agents responsible for onboarding. One agent handles user registration using `register_shangqian_user`, while another manages the legal assets by calling `upload_shangqian_template`. They communicate these actions to ensure all prerequisites are met before signing. The power is in making competing perspectives work together until a final, validated decision is reached.

Setup guide

Set up ShangQian / 上上签 (BestSign) 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 ShangQian / 上上签 (BestSign) 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="ShangQian / 上上签 (BestSign)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ShangQian / 上上签 (BestSign) 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="ShangQian / 上上签 (BestSign)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ShangQian / 上上签 (BestSign) 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 ShangQian / 上上签 (BestSign). 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 ShangQian / 上上签 (BestSign) MCP in AutoGen

AutoGen treats the MCP tools as functions that multiple agents can call and debate over. The system drives consensus, making it ideal for complex, multi-perspective contract processes.

Yes. You can set up a dedicated 'Compliance Agent' that always reviews the output of `verify_identity_v2` and raises flags if the contract data doesn't meet specific standards.

It orchestrates multiple specialized agents—like drafting, compliance, and security—to work together. They debate the necessary steps to sign a contract, ensuring no critical step is overlooked.

Yes. You can assign an agent specifically to handle template lifecycle management, forcing the system to call `upload_shangqian_template` and then verify its usage.

You can set up a 'Security Agent' that mandates the use of `verify_identity_v2` before any agent is allowed to proceed with creating or signing contracts.

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