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Jestor MCP. Manage internal data and automate system processes.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Jestor MCP on Cursor AI Code Editor MCP Client Jestor MCP on Claude Desktop App MCP Integration Jestor MCP on OpenAI Agents SDK MCP Compatible Jestor MCP on Visual Studio Code MCP Extension Client Jestor MCP on GitHub Copilot AI Agent MCP Integration Jestor MCP on Google Gemini AI MCP Integration Jestor MCP on Lovable AI Development MCP Client Jestor MCP on Mistral AI Agents MCP Compatible Jestor MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Jestor. Manage data, workflows, and records using Jestor's low-code API through an MCP Server. Your AI client can list all objects, retrieve specific records, monitor automated workflows, and manage system users.

This lets your agent automate internal operations and handle database tasks without needing direct API keys or complex setup.

What your AI agents can do

Get me

Verifies the connection status and retrieves the details of the currently authenticated user.

Get object

Retrieves the detailed schema and field types for a specific object or table.

Get record

Fetches all data details for one specific record, requiring a unique ID.

+ 7 more capabilities included
Audit System State

Your agent can check who is connected (get_me), what objects exist (list_objects), and which users are in the organization (list_users).

Inspect Data Structure

You can get the schema for any table (get_object) or pull the details for a specific data entry (get_record).

Browse and Manage Data

The agent can list all records in a specific table (list_records) or list all installed apps and dashboards for context.

Track Business Logic

You can list automated workflows (list_workflows) and all configured webhooks to see how the system operates.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Jestor MCP Server: 10 Tools for Internal Data Management

These tools allow your AI agent to query, list, and manage every aspect of your internal Jestor system, from data tables to automated workflows.

get019d75bc

get me

Verifies the connection status and retrieves the details of the currently authenticated user.

get019d75bc

get object

Retrieves the detailed schema and field types for a specific object or table.

get019d75bc

get record

Fetches all data details for one specific record, requiring a unique ID.

list019d75bc

list apps

Lists every installed internal application or toolset within the Jestor account.

list019d75bc

list dashboards

Retrieves a list of all configured data dashboards for quick viewing.

list019d75bc

list objects

Lists all available data objects (tables) in the entire Jestor account.

list019d75bc

list records

Lists multiple records from a specific object, like all 'Tasks' or 'Clients'.

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list users

Returns a list of all users in the organization, including their names, emails, and IDs.

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list webhooks

Lists all configured webhooks, useful for auditing third-party integrations.

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list workflows

Lists all automated workflows and event-driven business logic in the system.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Jestor, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

The get_me tool verifies your connection status and pulls the details for the user who's logged in right now. You can check what objects exist in your account using list_objects, and see every user in the organization with list_users. To audit the system, your agent can pull a list of all installed internal applications using list_apps, and get a list of all data dashboards configured with list_dashboards.

You can check all the automated workflows running in the system using list_workflows, and see all third-party integrations by listing webhooks with list_webhooks. When it comes to data, you can get the detailed schema and field types for any specific object or table using get_object. To pull all the data for one specific entry, you just need the unique ID and you use get_record.

If you wanna see all the data in a specific table, you use list_records. You can also list every available data object (tables) in the entire Jestor account with list_objects.

How Jestor MCP Works

  1. 1 Tell your AI client you need to perform a data task, like 'List all client records.'
  2. 2 The client calls the appropriate tool (e.g., list_records), passing the necessary object name and filters.
  3. 3 Jestor processes the request and returns the list of records or the requested schema to your agent.

The bottom line is, your AI agent can run complex data queries and manage internal system settings using only natural language prompts.

Who Is Jestor MCP For?

The Ops Engineer who needs to audit data flows without writing SQL. The Business Analyst who needs to pull specific records from multiple tables for a report. The Product Manager who needs to check the status of automated workflows. Anyone who interacts with complex internal business data but isn't a dedicated developer.

Operations Engineer

Uses list_workflows and list_webhooks to audit system automation and check if third-party integrations are firing correctly.

Data Analyst

Runs list_objects to find available datasets, then uses list_records and get_record to pull specific data points for analysis.

Product Manager

Uses list_apps and list_dashboards to understand what features are built into the platform and track usage.

What Changes When You Connect

  • See the full data map by running list_objects, which gives you the names and labels of every dataset available. You don't have to guess what tables exist.
  • Audit complex system logic by using list_workflows and list_webhooks. You can track exactly when and how data changes are triggered by automation.
  • Pull specific data points instantly. If you only need one record, use get_record instead of listing everything, saving time and bandwidth.
  • Manage your user base efficiently. list_users gives you a clean list of all system accounts, making it easy to find record owners.
  • Understand the platform's structure using get_object. This tool lets you check a table's schema, which is crucial before trying to query its data.
  • Quickly see what's available. list_apps and list_dashboards help you understand the high-level tools and visualizations built into Jestor.

Real-World Use Cases

01

Auditing a Failed Integration

A DevOps engineer notices a third-party service isn't updating records. They first run list_webhooks to see the setup. Then, they use list_workflows to see if a workflow triggered the webhook. Finally, they use list_records on the affected object to check if the data was at least pulled into Jestor.

02

Building a Data Report for Leadership

A Business Analyst needs a report on all inactive clients. They run list_objects to confirm the 'Clients' table name. They use list_records with a filter for status='inactive', and then use get_object to confirm the 'status' field is a string before pulling the data.

03

Onboarding a New Team Member

A Product Manager needs to know who has access to the system. They run list_users to get the roster. They then use list_apps to show the new hire which tools they need to focus on, making the onboarding process concrete.

04

Investigating a Data Discrepancy

A support agent finds a user says their record is missing. The agent uses get_me to verify the agent's own permissions. Then, they use get_record with the user's ID to pull the exact data, confirming the record's existence and integrity.

The Tradeoffs

Treating Jestor like a generic database

Just asking the agent to 'give me all the data' without specifying the object or filters. The agent will fail or return too much data.

Always start by running list_objects to find the correct table name. Then, use list_records and specify the object name, and apply filters to narrow the results.

Assuming a record exists

Asking the agent to 'get the Client record 123' when the record ID 123 was deleted or never created. The call will fail, leaving the user guessing why.

First, use list_users or list_objects to confirm the ID format and existence of the object. Then, try get_record with the confirmed ID.

Ignoring system context

Asking the agent to 'start the data flow' without knowing if the necessary webhooks or workflows are configured. The process will break silently.

Check the system first. Run list_workflows and list_webhooks to audit the current automation state before attempting to trigger or modify any process.

When It Fits, When It Doesn't

Use Jestor if your core problem involves managing internal, low-code business data. You need to read records, track system automation, or audit users within a defined platform.

Don't use this if your data lives in a completely separate system (e.g., a public API like Stripe or a private file share). For those, you'll need a dedicated integration tool. If you just need to search for general knowledge (like a wiki), you'll need a search engine type tool instead of a structured database tool. This MCP server is for internal data management only.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jestor. 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

get_me get_object get_record list_apps list_dashboards list_objects list_records list_users list_webhooks list_workflows

Data management shouldn't feel like a scavenger hunt.

Before this, checking a client's status meant logging into the CRM, going to the 'Clients' tab, clicking the 'History' view, and manually cross-referencing the date stamps. If the status was controlled by an automated process, you had to check the workflow dashboard separately—a total of 3-4 different screens and 15 minutes of clicking.

Now, your agent does the work. You tell it, 'What's the status of Client X?' and it runs the necessary tools (`list_objects`, `list_records`, and potentially `list_workflows`) to pull the answer in one shot. It's immediate, structured, and eliminates the manual context switching.

Jestor MCP Server: Manage data, workflows & records

No more manually checking the status of webhooks or workflows in separate admin panels. Your agent handles the audit: it lists all `list_webhooks` and `list_workflows`, verifying the system's operational health before you even ask for data.

The system now has a single source of truth for internal operations. It doesn't matter if you're checking user roles or if a data record exists; the agent finds it and presents it, instantly.

Common Questions About Jestor MCP

How do I find out what tables Jestor has? +

Run the list_objects tool. This tool returns a comprehensive list of all available objects (tables) in your Jestor account, letting you know what data exists.

What is the difference between `list_objects` and `list_records` in Jestor? +

list_objects shows you the names of the tables (e.g., 'Clients'). list_records takes a table name and returns the actual list of data entries within that table.

Can I check if a user exists using the `list_users` tool? +

Yes, list_users returns a list of all users in the organization. You can then search that list by name or email to confirm existence.

How do I check if a workflow is running or configured? +

Use the list_workflows tool. This tool lists all automated workflows, allowing you to audit the logic and status of event-driven actions.

Can the agent retrieve data for a single item using `get_record`? +

Yes, get_record is designed for deep dives. You provide the specific record ID, and the tool retrieves all details for that single entry.

How do I check my current user details using the `get_me` tool? +

The get_me tool provides the currently authenticated user's information. This lets your agent verify the user's identity, associated permissions, and system roles before running complex operations.

What can I discover about a specific table structure using the `get_object` tool? +

The get_object tool retrieves the schema and field types for any specified object. This is useful for determining relationships and knowing exactly what data fields are available before querying records.

Which tool should I use to see all automated background processes? Should I use `list_workflows` or `list_webhooks`? +

You should use list_workflows to see automated, internal system logic. Use list_webhooks only when you need to audit external third-party connections and data triggers.

How do I get Jestor API credentials? +

Log in to your Jestor account, navigate to Lowcode > API & Tokens, and generate a new token.

What are 'objects' in Jestor? +

Objects are similar to tables in a database. They store your data and records.

Can I see my workflows? +

Yes, the list_workflows tool provides a list of all active automations in your Jestor account.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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