- MAPPING
- CONTEXT
- VALIDATION
- HUMAN
Short answer
How can my AI see my Jestor data structure?
Your agent uses the Jestor MCP to pull a list of all objects and then looks inside each one to see the specific fields and types. This gives your AI the context it needs to write accurate queries or updates without you manually explaining the schema.
Where every insight lands.
Outcomes of schema inspection
Once your agent understands the structure, it can move from reading to acting.
MAPPING
Complete data maps
The AI identifies every object and field type in your workspace. You get a clear picture of how your data is organized.
CONTEXT
Ready for interaction
Your agent learns which fields are text, numbers, or dates. This prevents errors when you ask it to perform tasks later.
VALIDATION
Error-free data tasks
By knowing the schema, your AI avoids trying to write data to non-existent fields. It stays within your defined rules.
HUMAN
Manual schema edits
The AI can read and understand your structure, but it cannot change your field types or delete objects. You still control the database design.
The workflow
What your AI does when the schema request arrives.
The agent follows a logical path to build a mental model of your Jestor environment.
Inventory objects
The agent starts by pulling a full list of all available objects in your Jestor workspace.
list_objectsDeep dive into fields
It picks a specific object to examine the internal field names and data types.
get_objectMap relationships
The agent uses the gathered field data to understand how different objects connect to each other.
get_objectConfirm readiness
The agent summarizes the schema to you, confirming it knows exactly where to find and place data.
list_objects
Try it
Copy these to start.
Use these prompts to kick off the inspection process.
Starting points
These are opening lines. Swap out the object names for the actual names used in your Jestor workspace.
Jestor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_nWsYgXIssNOgbHXfsvH6htf0AAFoMtq94d8hDlP7/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Jestor capabilities are ready to use.
{
"mcpServers": {
"jestor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_nWsYgXIssNOgbHXfsvH6htf0AAFoMtq94d8hDlP7/mcp"
}
}
}List all the objects in my Jestor workspace so I can see what's available.
Look at the 'Leads' object and tell me what fields are available for data entry.
Check the structure of my 'Orders' object to see if it has a relationship with 'Customers'.
Summarize the schema for the 'Inventory' object, specifically noting which fields are numbers.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Jestor once, then ask.
You only need to link your account once. Your credentials stay encrypted, and you can immediately start chatting with your data through any compatible client.
Connect Jestor to your AIFAQ
How the schema inspection behaves
- 01
Can the AI change my field types?
No. The AI can only read the schema using the available tools. It cannot modify your Jestor structure.
- 02
Can the AI delete objects in my workspace?
No. There are no tools provided to delete objects or fields, so the AI is restricted to reading data.
- 03
How does the AI know which fields are required?
The AI inspects the object structure to identify field properties, allowing it to understand the requirements of each object.
- 04
Does the AI see all my data at once?
No. The AI only sees the specific objects and fields it requests through the tools.
- 05
Can I use this with Claude or Cursor?
Yes. Any MCP-compatible client can use this connector once it is connected via Vinkius.
More questions about Jestor? See everything the Jestor Connector can do
Connect Jestor to Claude, Cursor, ChatGPT & more
