Jinshuju / 金数据 MCP. Manage form submissions and data pipelines via natural chat.
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Jinshuju / 金数据 MCP Server connects your AI agent to a powerful Chinese-based form and data collection platform. It lets you manage entire data workflows—from listing forms to programmatically submitting entries—all through natural conversation.
Your agent can list all forms, view submission details, count entries, and even monitor webhooks without opening the web interface.
What your AI agents can do
Create entry
Submits a new, complete entry to a specified form.
Delete entry
Removes a specific form entry record from the system.
Get entry
Retrieves the full details for a single form submission.
The agent retrieves a list of all forms created in your Jinshuju account.
The agent fetches the full definition of a form, including all fields and their types.
The agent pulls the complete details for a single form entry.
The agent returns the current total number of submissions for a given form.
The agent submits a new entry to a specified form using provided data.
The agent lists all configured webhooks and monitors their status.
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Jinshuju / 金数据 MCP Server: 10 Tools for Data Management
Use these tools to list, read, update, and delete forms and entries, and to monitor the health of your data collection pipelines.
019d844bcreate entry
Submits a new, complete entry to a specified form.
019d844bdelete entry
Removes a specific form entry record from the system.
019d844bget entry
Retrieves the full details for a single form submission.
019d844bget entry count
Returns the total number of entries recorded for a given form.
019d844bget form
Fetches the metadata and settings for a specific form.
019d844bget form fields
Lists the names and types of all fields within a specific form.
019d844blist entries
Retrieves a list of multiple form entries, often used for batch viewing.
019d844blist forms
Gets a list of all forms currently active in your account.
019d844blist webhooks
Displays a list of all configured webhooks for your forms.
019d844bupdate entry
Modifies existing data in a form entry record.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
Jinshuju / 金数据 MCP Server hooks your AI agent up to a serious Chinese-based platform for handling data forms. It lets your agent manage entire data workflows—from seeing what forms you've built to submitting new entries—all just by talking to it. Your agent can list every form, pull up submission details, count how many entries you got, and even check on webhooks without you ever having to open the web interface.
Your agent's got full control over form data. It can list forms, see the structure of any form, read specific submissions, create new records, update old ones, and delete them. You can use this to audit lead generation, manage customer surveys, or automate registration flows right from your AI workspace.
list_forms gets a list of every form you've created in your account. get_form pulls the metadata and settings for a single form. get_form_fields lists the names and types of all fields inside a specific form. list_entries retrieves a list of multiple form entries, which is useful for batch viewing. get_entry pulls the complete details for one specific form submission. get_entry_count returns the total number of submissions for a form. create_entry submits a new, complete entry to a specified form. update_entry modifies existing data in a form entry record. delete_entry removes a specific form entry record from the system. list_webhooks displays a list of all configured webhooks for your forms.
How Jinshuju / 金数据 MCP Works
- 1 Subscribe to the server and input your Jinshuju API Key and Secret.
- 2 Your AI client makes a request (e.g., 'List all lead forms').
- 3 The server executes the appropriate tool (e.g.,
list_forms) and returns the structured data to your AI client.
The bottom line is, your AI agent handles the API calls, so you don't have to.
Who Is Jinshuju / 金数据 MCP For?
This is for Ops Leads, Marketing Managers, and Data Analysts who spend too much time switching between the form builder, the data dashboard, and the reporting tool. If you need to audit submissions or automate data entry from your AI workflow, this saves hours of manual clicking.
Auditing campaign forms and retrieving lead generation metrics by asking the AI agent, 'What were the top 5 leads from the Q3 survey?'
Checking entry consistency and retrieving specific qualitative data points (e.g., 'Get all comments mentioning pricing') without running manual database queries.
Testing new registration flows by asking the agent to programmatically submit test entries to ensure the backend captures all necessary fields.
What Changes When You Connect
- You can audit lead generation without logging into a dashboard. Use
list_formsto see every active survey or registration form, and then useget_entry_countto immediately know how many submissions you've gathered. - Never manually update a record again. Use
update_entryto change a user's status or correct an old submission directly through your AI agent, then useget_entryto verify the change. - The server handles form structure definitions. Use
get_form_fieldsto check if a form has the right fields (e.g., 'phone number') before trying tocreate_entry, preventing bad data submissions. - Data pipelines stay healthy. Use
list_webhooksto check all configured webhooks. If anything looks misconfigured, you can fix it or know exactly what needs attention. - You can programmatically feed data into your forms. Use
create_entryto simulate a user submission or uselist_entriesto pull a batch of data for analysis. - Your agent acts as a central point of truth. Instead of querying three different systems, you ask the agent to
get_formdetails and thenlist_entriesfrom the same source.
Real-World Use Cases
Audit a campaign's performance post-launch
The campaign ran for a week, and the marketing team needs to know the total leads. They ask the agent: 'How many leads did we get from the Q4 survey?' The agent runs get_entry_count and provides the exact number. Then, they ask the agent to list_entries for the last 5 submissions to review the latest leads.
Automate lead data correction
A lead provided an old email address. The ops engineer doesn't want to log in. They tell the agent: 'Update the email for submission ID 8821 to john.new@corp.com.' The agent runs update_entry and confirms the change using get_entry.
Test a new user registration flow
The product team is launching a new sign-up form. They ask the agent to get_form_fields for the new form to verify every required field exists. Then, they use create_entry to simulate a test user submission, checking that the data lands correctly.
Diagnose webhook failures
The system isn't sending data to the CRM. The data specialist asks the agent to list_webhooks. The agent reports that the webhook for the CRM is disabled or points to an incorrect endpoint, allowing the specialist to fix the pipeline.
The Tradeoffs
Trying to list all data in one go
Asking the agent, 'Give me all customer data from all forms.' The agent will fail or return a massive, unusable dump of thousands of records, slowing down the chat and losing context.
→
Always narrow the scope. First, use list_forms to identify the specific form (e.g., 'Q3 Survey'). Then, use list_entries or get_entry_count on that specific form ID to get manageable, focused data.
Manually submitting test data
A developer has to log into the web portal, fill out the form, and hit submit just to test a field validation. This is slow and doesn't integrate into CI/CD testing flows.
→
Use create_entry with the required form ID and structured payload. This simulates the submission programmatically and keeps your testing within your AI pipeline.
Assuming data structure stability
Assuming the 'Name' field is always present when calling get_entry, but the form owner changed the field name, causing the agent to fail because the structure is unknown.
→
Before making any reads, use get_form_fields to validate the current structure of the form. This ensures the agent knows exactly what fields to expect before attempting to read or write data.
When It Fits, When It Doesn't
Use this server if your primary pain point is managing form data across multiple sources or needing to audit submissions without opening a web browser. You need a single, conversational interface to manage CRUD operations on forms. For example, if you need to check a lead count (get_entry_count) or programmatically update a record (update_entry), this is the tool.
Don't use this if you just need a simple database wrapper. If you only need to read a list of records and nothing else, a standard database connector might suffice. Also, if your primary goal is complex data transformation (like joining forms with external ERP data), you'll need a dedicated ETL service alongside this, as it only manages the data within Jinshuju.
It's best for Ops teams who need to manage the flow and state of the data, not just the data itself.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jinshuju / 金数据. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually checking form data feels like a job for a data entry clerk.
Today, if you need to audit a campaign, you click to the forms dashboard. Then you click the specific form. Next, you click the 'Entries' tab. If you need a count, you look at the counter. If you need to update something, you find the row, click the pencil icon, and manually type in the new data. It's a lot of clicks and a lot of context switching.
With the Jinshuju MCP Server, you simply tell your agent, 'Show me the total leads from the Q3 survey and update John Doe's phone number.' The agent handles the clicks, the tabs, and the data retrieval, giving you the final, actionable answer instantly.
Jinshuju / 金数据 MCP Server: Control form data submissions.
You no longer have to rely on webhooks firing correctly or manually checking the data dashboard to know if a form is active. You can ask the agent to `list_forms` to see everything, or use `get_form_fields` to confirm the exact data structure before writing code.
The difference is that your data management moves from being a series of manual clicks to a single, conversational command. Your agent becomes the system administrator for your forms.
Common Questions About Jinshuju / 金数据 MCP
How do I list all my forms using the Jinshuju / 金数据 MCP Server? +
Use the list_forms tool. This immediately gives you a list of all available forms and their basic IDs, letting you know what data sources your agent can work with.
Can I update a form entry using the Jinshuju / 金数据 MCP Server? +
Yes, use update_entry. You just need the entry's ID and the field name/new value. The agent handles the API call, making it simple to correct old data.
What is the difference between `list_entries` and `get_entry`? +
get_entry fetches the full details for one specific entry ID. list_entries retrieves a batch of multiple entries, letting you see a summary of several submissions at once.
Does Jinshuju / 金数据 MCP Server track webhooks? +
Yes, use list_webhooks to browse and monitor all configured webhooks. This is key for ensuring your data feeds to other systems are working.
Can I create a form entry without knowing all the field names? +
You should first use get_form_fields to retrieve the exact field definitions for the target form. This ensures that when you run create_entry, the payload structure is correct.
How do I get form field definitions using the `get_form_fields` tool with Jinshuju / 金数据 MCP Server? +
The get_form_fields tool retrieves the exact structure of a form, including field types and definitions. This lets your agent know what data to expect before you try to submit an entry or list fields.
What is the difference between `list_entries` and `get_entry` when using Jinshuju / 金数据 MCP Server? +
Use list_entries to pull a batch of submissions (like the last 5 entries). get_entry pulls the full details for one specific entry using its unique ID.
Can I monitor data pipelines using the `list_webhooks` tool in Jinshuju / 金数据 MCP Server? +
Yes, list_webhooks shows all configured webhooks. This lets your agent check if the data pipelines are active and pointing to the right endpoints.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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