ShangQian / 上上签 (BestSign) MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ShangQian / 上上签 (BestSign) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ShangQian / 上上签 (BestSign) Assistant",
instructions=(
"You help users interact with ShangQian / 上上签 (BestSign). "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ShangQian / 上上签 (BestSign)"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ShangQian / 上上签 (BestSign) MCP Server
Empower your AI agent to orchestrate your digital document workflows and electronic signatures with ShangQian (BestSign / 上上签), the premier B2B digital signature platform in China. By connecting ShangQian to your agent, you transform complex contract lifecycle management, user identity verification (KYC), and signature orchestration into a natural conversation. Your agent can instantly register new personal or enterprise users, initialize contracts from pre-defined templates, retrieve detailed contract statuses, and even generate secure download links for executed documents without you ever needing to navigate the comprehensive BestSign Management Portal. Whether you are automating HR onboarding or coordinating high-volume commercial agreements, your agent acts as a real-time contract coordinator, providing accurate and fast results from a single, authorized source.
The OpenAI Agents SDK auto-discovers all 8 tools from ShangQian / 上上签 (BestSign) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ShangQian / 上上签 (BestSign), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- User Orchestration — Register new users, verify digital certificates, and perform KYC identity checks.
- Contract Management — Create signature-ready contracts using templates and monitor real-time completion status.
- Template Automation — List and audit your library of contract templates and upload new document definitions.
- Execution Control — Trigger signature operations for authorized accounts and retrieve finalized PDF documents.
- Operational Monitoring — Verify API connectivity and monitor system health to ensure signature reliability.
The ShangQian / 上上签 (BestSign) MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ShangQian / 上上签 (BestSign) to OpenAI Agents SDK via MCP
Follow these steps to integrate the ShangQian / 上上签 (BestSign) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from ShangQian / 上上签 (BestSign)
Why Use OpenAI Agents SDK with the ShangQian / 上上签 (BestSign) MCP Server
OpenAI Agents SDK provides unique advantages when paired with ShangQian / 上上签 (BestSign) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ShangQian / 上上签 (BestSign) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ShangQian / 上上签 (BestSign) MCP Server delivers measurable value.
Automated workflows: build agents that query ShangQian / 上上签 (BestSign), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ShangQian / 上上签 (BestSign), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ShangQian / 上上签 (BestSign) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ShangQian / 上上签 (BestSign) to resolve tickets, look up records, and update statuses without human intervention
ShangQian / 上上签 (BestSign) MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ShangQian / 上上签 (BestSign) to OpenAI Agents SDK via MCP:
create_shangqian_contract
Create signature contract
get_contract_details
Get contract metadata
get_contract_download
Get download URL
get_user_certificate
Get user certificate
register_shangqian_user
Register a new user
sign_contract_now
Sign contract
upload_shangqian_template
Upload new template
verify_identity_v2
Verify user identity
Example Prompts for ShangQian / 上上签 (BestSign) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ShangQian / 上上签 (BestSign) immediately.
"List all contract templates in my ShangQian account."
"Register a new enterprise user 'Vinkius' with account 'vinkius@example.com'."
"What is the status of contract '88210934'?"
Troubleshooting ShangQian / 上上签 (BestSign) MCP Server with OpenAI Agents SDK
Common issues when connecting ShangQian / 上上签 (BestSign) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ShangQian / 上上签 (BestSign) + OpenAI Agents SDK FAQ
Common questions about integrating ShangQian / 上上签 (BestSign) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ShangQian / 上上签 (BestSign) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ShangQian / 上上签 (BestSign) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
