Jinshuju / 金数据 MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Jinshuju / 金数据 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="jinshuju_agent",
tools=tools,
system_message=(
"You help users with Jinshuju / 金数据. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Jinshuju / 金数据 tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Jinshuju / 金数据 MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Jinshuju / 金数据 automatically
Why Use AutoGen with the Jinshuju / 金数据 MCP Server
AutoGen provides unique advantages when paired with Jinshuju / 金数据 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Jinshuju / 金数据 tools to solve complex tasks
Role-based architecture lets you assign Jinshuju / 金数据 tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Jinshuju / 金数据 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Jinshuju / 金数据 tool responses in an isolated environment
Jinshuju / 金数据 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Jinshuju / 金数据 MCP Server delivers measurable value.
Collaborative analysis: one agent queries Jinshuju / 金数据 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Jinshuju / 金数据, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Jinshuju / 金数据 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Jinshuju / 金数据 responses in a sandboxed execution environment
Jinshuju / 金数据 MCP Tools for AutoGen (10)
These 10 tools become available when you connect Jinshuju / 金数据 to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Jinshuju / 金数据 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Jinshuju / 金数据 + AutoGen FAQ
Common questions about integrating Jinshuju / 金数据 MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
