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 CrewAI 10 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Jinshuju / 金数据 through Vinkius, pass the Edge URL in the `mcps` parameter and every Jinshuju / 金数据 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Jinshuju / 金数据 Specialist",
    goal="Help users interact with Jinshuju / 金数据 effectively",
    backstory=(
        "You are an expert at leveraging Jinshuju / 金数据 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Jinshuju / 金数据 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Jinshuju / 金数据 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Jinshuju / 金数据 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Jinshuju / 金数据

Why Use CrewAI with the Jinshuju / 金数据 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Jinshuju / 金数据 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Jinshuju / 金数据 + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Jinshuju / 金数据 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Jinshuju / 金数据, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Jinshuju / 金数据 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Jinshuju / 金数据 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Jinshuju / 金数据 MCP Tools for CrewAI (10)

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

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Jinshuju / 金数据 + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.