How do I find my Jinshuju API Key and Secret?

Log in to your Jinshuju account, click on your avatar, go to [Personal Center] -> [API], and you will find your unique API Key and Secret there.

Can I update existing form entries through the agent?

Yes. Use the `update_entry` tool with the form ID and the specific entry ID (serial number). You can provide a JSON string of the fields you wish to modify.

Is it possible to monitor webhook status?

Yes! Use the `list_webhooks` tool to retrieve a list of all configured webhooks for a specific form, helping you audit your automated data pipelines.

Jinshuju / 金数据 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Jinshuju / 金数据
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Jinshuju / 金数据 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Jinshuju / 金数据 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Jinshuju / 金数据?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Jinshuju / 金数据 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Jinshuju / 金数据 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Jinshuju / 金数据 with type-safe schemas

Why Use Pydantic AI with the Jinshuju / 金数据 MCP Server

Pydantic AI provides unique advantages when paired with Jinshuju / 金数据 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Jinshuju / 金数据 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Jinshuju / 金数据 connection logic from agent behavior for testable, maintainable code

Jinshuju / 金数据 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Jinshuju / 金数据 MCP Server delivers measurable value.

Type-safe data pipelines: query Jinshuju / 金数据 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Jinshuju / 金数据 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Jinshuju / 金数据 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Jinshuju / 金数据 responses and write comprehensive agent tests

Jinshuju / 金数据 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Jinshuju / 金数据 to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Jinshuju / 金数据 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Jinshuju / 金数据 + Pydantic AI FAQ

Common questions about integrating Jinshuju / 金数据 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Jinshuju / 金数据 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.