Jinshuju / 金数据 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jinshuju / 金数据 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jinshuju": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jinshuju / 金数据 Agent",
instructions:
"You help users interact with Jinshuju / 金数据 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jinshuju / 金数据?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Jinshuju / 金数据 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the Jinshuju / 金数据 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Jinshuju / 金数据 via MCP
Why Use Mastra AI with the Jinshuju / 金数据 MCP Server
Mastra AI provides unique advantages when paired with Jinshuju / 金数据 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Jinshuju / 金数据 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Jinshuju / 金数据 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Jinshuju / 金数据 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jinshuju / 金数据 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jinshuju / 金数据, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jinshuju / 金数据 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jinshuju / 金数据 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jinshuju / 金数据 tools alongside other MCP servers
Jinshuju / 金数据 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Jinshuju / 金数据 to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting Jinshuju / 金数据 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJinshuju / 金数据 + Mastra AI FAQ
Common questions about integrating Jinshuju / 金数据 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Jinshuju / 金数据 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.