Jinshuju / 金数据 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Jinshuju / 金数据 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="Jinshuju / 金数据 Assistant",
instructions=(
"You help users interact with Jinshuju / 金数据. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jinshuju / 金数据"
)
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 Jinshuju / 金数据 MCP Server
Empower your AI agent to orchestrate your data collection workflows with Jinshuju (金数据), the premier online form builder in China. By connecting Jinshuju to your agent, you transform complex form management, entry auditing, and lead collection into a natural conversation. Your agent can instantly list your forms, retrieve detailed submission data, create new entries programmatically, and even monitor webhook configurations without you ever needing to navigate the comprehensive web interface. Whether you are managing customer surveys or automated registration flows, your agent acts as a real-time data coordinator, keeping your information accurate and your responses organized.
The OpenAI Agents SDK auto-discovers all 10 tools from Jinshuju / 金数据 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Jinshuju / 金数据, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Form Orchestration — List all forms and retrieve detailed structures, field definitions, and settings.
- Entry Management — List, view, create, and update form submissions with full field support.
- Data Auditing — Retrieve real-time entry counts and monitor submission velocity for your forms.
- Webhook Control — Browse and monitor configured webhooks to ensure your data pipelines are healthy.
- Workflow Integration — Programmatically submit or modify entries to bridge your AI workflows with form data.
The Jinshuju / 金数据 MCP Server exposes 10 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 Jinshuju / 金数据 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Jinshuju / 金数据 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 10 tools from Jinshuju / 金数据
Why Use OpenAI Agents SDK with the Jinshuju / 金数据 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jinshuju / 金数据 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
Jinshuju / 金数据 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jinshuju / 金数据 MCP Server delivers measurable value.
Automated workflows: build agents that query Jinshuju / 金数据, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Jinshuju / 金数据, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jinshuju / 金数据 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jinshuju / 金数据 to resolve tickets, look up records, and update statuses without human intervention
Jinshuju / 金数据 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Jinshuju / 金数据 to OpenAI Agents SDK via MCP:
create_entry
Submit a new entry
delete_entry
Delete an entry
get_entry
Get entry details
get_entry_count
Get total entry count
get_form
Get form details
get_form_fields
Get form field definitions
list_entries
List form entries
list_forms
List all forms
list_webhooks
List form webhooks
update_entry
Update an entry
Example Prompts for Jinshuju / 金数据 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Jinshuju / 金数据 immediately.
"List all my forms in Jinshuju."
"Show me the last 5 entries for form 'ABC-123'."
"Submit a new entry to form 'XYZ-789' with name 'John Doe' and email 'john@example.com'."
Troubleshooting Jinshuju / 金数据 MCP Server with OpenAI Agents SDK
Common issues when connecting Jinshuju / 金数据 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jinshuju / 金数据 + OpenAI Agents SDK FAQ
Common questions about integrating Jinshuju / 金数据 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 Jinshuju / 金数据 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 Jinshuju / 金数据 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.