Manage your no-code database through conversation. 
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Knack MCP connects your AI client directly to your no-code database. It gives your agent the ability to perform full Create, Read, Update, and Delete (CRUD) operations on any Knack object.
Instead of building custom APIs or navigating complex dashboards, you just ask your AI client to manage records using plain conversation.
You get instant access to all data structures, allowing immediate querying, updating fields, and managing bulk data without ever leaving the chat window.
What your AI can do
List objects
The agent lists every available database collection (object) within the Knack application. This helps you find the Object Key.
Get object schema
It returns the metadata for a chosen Knack object, letting you verify its name and high-level structure before proceeding.
List records
You provide an object key, and this tool pulls a list of all existing records in that specific Knack object.
The MCP lists every object and field in your database so you know exactly what data is available.
Your agent creates brand-new entries into any Knack object based on simple instructions.
You ask for a record by ID, and the MCP pulls back all its current details for auditing or review.
The agent updates fields on an existing record; you only provide what needs changing.
You can search through records using multiple criteria, like finding all 'Premium' customers who live in 'California'.
The MCP processes structured input to manage or update many records at once.
Ask an AI about this
Compatible AI Apps
OAuth 2.0 Compatible Gemini Waiting for input…
Knack: 10 Tools for Database Operations
These tools allow your AI client to perform every database action possible within Knack, from simple listing to complex record updates.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Knack on VinkiusList Objects
The agent lists every available database collection (object) within the Knack application. This helps you find the Object Key.
Get Object Schema
It returns the metadata for a chosen Knack object, letting you verify its name and...
List Records
You provide an object key, and this tool pulls a list of all existing records in...
Get Record
This retrieves all detailed information for one specific record when you provide...
Create Record
This tool adds a new entry into any Knack object. You must provide the data as a...
Update Record
The agent changes data in an existing record; you only send the fields and values that need changing.
Delete Record
Use this to permanently remove a record from a specific Knack object. Be careful, because this action cannot be undone.
List Object Fields
This is essential for seeing all fields in a chosen object, including their data...
Search Records
This finds records using detailed filters. You supply the filter criteria as a JSON...
List Account Applications
The agent runs this to list every application available within your connected Knack...
Connect to your AI in seconds. Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Knack integration is available immediately — no restart needed.
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
Make Your AI Do More
Start with Knack, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Knack. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Managing Knack data currently means jumping through hoops.
To update a single field or pull a specific record today, you typically have to navigate deep into multiple dashboards. You might copy an ID from one screen, paste it into another form, then manually change the status, and finally save everything. It's a painful cycle of clicking, searching for IDs, and hoping you didn't miss a required field.
With this MCP, your agent handles all that friction. You simply tell it what to do—for example, 'Update John Doe's status in object_1.' The agent manages the ID lookups, validates the schema internally, and executes the update, giving you immediate confirmation without ever leaving the chat.
Knack MCP: Direct Data Manipulation.
The manual steps of looking up object keys via `list_objects`, then listing fields with `list_object_fields` before finally running an update are gone. Your agent handles the entire sequence in one conversational turn, making complex data management feel as simple as sending a text message.
You're not just getting API access; you're getting conversational authority over your database. Data changes happen instantly, reliably, and directly from your AI client.
What your AI can actually do with this
Need to work with a no-code database but hate writing API calls? This MCP lets your agent talk directly to Knack. You can treat your entire database like an extension of your conversation—no need for complex developer setups or manual dashboard navigation. Your AI client handles schema discovery, so you always know which fields exist before making changes.
Want to find a specific customer profile that only exists in 'object_3'? Just ask it. Need to update fifty records at once? Give the agent the structured data and let it run the batch operation. Everything is contained, secure, and managed through natural conversation. Connecting via Vinkius means you get this full database control from one spot, letting your AI client manage Knack without any extra setup.
019d75c1-e568-7341-9068-6b428ceeaa0f 
Here's how it actually works
The bottom line is, you connect once with your credentials, and your AI client gains immediate, conversational control over all your Knack data.
First, subscribe to the Knack MCP and provide your specific Knack Application ID and REST API Key.
Next, connect this MCP to any compatible AI client. The agent uses these credentials to establish a direct link to your no-code database.
Finally, start by asking simple questions like 'What objects do I have?' Your agent reads the schema and lets you manage data right in the chat.
Who is this actually for?
Operations managers who spend too much time clicking through separate dashboards just to update a few records. Data analysts who need to quickly verify schema details without logging into the developer console. No-code developers who want to test API calls against real data using natural language.
You use this MCP to query and update critical business records (like customer status or order details) immediately, without navigating Knack's complex UI.
You run initial commands like list_objects and list_object_fields to map the data structure before writing a report query.
You use it to verify that your no-code application schema matches expectations, testing read/write operations using natural language prompts instead of manual API calls.
What Changes When You Connect
Stop jumping between dashboards. You can discover the full schema by calling list_object_fields and then use that knowledge to execute a specific update via update_record, all in one chat session.
Need to audit data? Use get_record to pull up every detail for an entry instantly, or run search_records if you need to narrow the search by status or date range across many records.
Managing multiple pieces of data is simple. You can use structured input with create_record to add new entries and then immediately follow up using list_objects to confirm the new object key was created correctly.
It eliminates the manual steps of API testing. Instead of hitting endpoints one by one, you just tell your agent what needs doing—like running a bulk delete via delete_record on old data.
When developing or managing operations, calling list_objects first is key. It provides the object keys you need to then run targeted queries like list_records against that specific collection.
See it in action
Auditing a customer profile
A manager needs to verify if 'Jane Smith' was assigned the correct tier status. Instead of digging through multiple tabs, they prompt: 'Get me the record for Jane Smith in object_1.' The agent uses get_record and provides all the necessary details immediately.
Onboarding a new product line
A developer needs to confirm data types before writing code. They first call list_objects to find 'Products' (object_3), then use list_object_fields to verify that the 'SKU' field is text, ensuring their subsequent create_record command won't fail.
Cleaning up old data
The ops team needs to remove all records marked as 'archived' older than a year. They use search_records with complex filters, confirm the results, and then authorize delete_record on that entire batch.
Running an ad-hoc report
A data analyst needs to see all 'Gold' tier clients from a specific region. They prompt for this, and the agent uses search_records with geographical and status filters, delivering a targeted list of records.
The honest tradeoffs
Trying to update fields without knowing schema.
The user tries to run 'update_record' by guessing field names like 'Customer Name' instead of the actual internal key, resulting in an error that stops work.
Attempting a delete before listing objects.
A new user assumes all data is in one place and tries to run delete_record without first calling list_objects. This fails because they don't know the correct object key.
Running searches on too broad a scope.
The user runs 'search_records' using only vague filters, causing the agent to pull back tens of thousands of records—a huge performance hit and data overload.
Always start by calling list_objects to get all available object keys. Then use get_object_schema or list_object_fields to confirm the precise field names needed before any read, update, or create operation.
When It Fits, When It Doesn't
Use this MCP if your workflow requires frequent, ad-hoc interaction with a Knack database. Specifically, if you need to perform CRUD operations—like creating new leads (create_record), changing statuses (update_record), or deleting old records (delete_record)—via natural conversation, this is the right tool. It gives your AI client granular control over all data types and objects. Don't use it if your goal is purely viewing documentation; in that case, just asking for a list of available objects using list_objects is enough. Also, don't rely on this to handle complex business logic (like multi-step approvals); you still need external workflows for that. However, if the core task is 'read or write data,' then this MCP handles the heavy lifting.
Questions you might have
How do I find out what objects are in my Knack app using list_objects? +
Run the list_objects tool. It will return a list of all object keys available in your application, which is the first step to accessing any data.
Can I update records with the update_record tool if I don't know the field names? +
No. Before using update_record, you must run list_object_fields on the object key to get a list of all valid, specific field keys for that data structure.
What is the difference between list_records and search_records? +
list_records gives you every single record in an entire object. Use search_records when you need to filter those records by criteria, like 'status equals Active' or 'date greater than last month'.
Is the create_record tool safe if I don't know all required fields? +
It's best practice to first run list_object_fields and confirm the object schema. This ensures you know exactly which keys are required before attempting to generate a new record.
Does this MCP help me find out what other applications I have in Knack? +
Yes, running list_account_applications will list all the different applications or modules connected within your overall Knack account structure.
When should I use the `list_object_fields` tool? +
You run this first to map out your data structure. It shows every field key and its required data type, which is essential before you try to run create_record or update_record. This prevents you from hitting schema errors.
What information do I need to use the `get_record` tool? +
You must provide both the object key and the specific record ID. Running this tells you everything about one single entry, making it perfect for detailed data auditing or verifying a client's profile.
Is using `delete_record` safe, and what are the risks? +
No, deleting records is irreversible. You must be absolutely certain of the object key and record ID before invoking this tool. Treat it like pulling the trigger: double-check your scope every time.
How do I find the Object Key for a specific table? +
Use the list_objects tool. It will return all data objects in your application along with their names and unique keys (e.g., object_1). Use these keys for all subsequent record operations.
Can I search records using multiple conditions? +
Yes. Use the search_records tool and provide a JSON array of filter objects. For example: [{"field":"field_1", "operator":"is", "value":"active"}, {"field":"field_2", "operator":"contains", "value":"premium"}].
How do I know which fields to use when creating a record? +
Use the list_object_fields tool with the target object_key. It will list all fields, their types, and their keys (e.g., field_1), which you must use as property names in your data JSON.
We've already built the connector for Knack. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.