Knack MCP. Query, list, and modify your no-code database via conversation.
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Knack MCP Server manages your no-code database by exposing every CRUD operation and schema function via a single API. List all objects, read specific records, query complex data sets using filters, and update fields—all through natural conversation with your AI client.
This gives you full control over your Knack data without touching the dashboard.
What your AI agents can do
Create record
Adds a new entry to a specified Knack object, requiring you to pass the data as a JSON string.
Delete record
Permanently removes an existing record from a Knack object. Use this carefully.
Get object schema
Retrieves the metadata for a Knack object, showing its name and high-level structure.
Use list_objects and get_object_schema to view all available database objects and understand their underlying field structure.
Retrieve single records using get_record or run complex searches across multiple criteria with search_records.
Create new records with create_record, update existing entries with update_record, or delete records with delete_record.
Browse all records in an object using list_records, or check the specific fields available for an object using list_object_fields.
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Supported MCP Clients
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Knack MCP Server: 10 Tools for Database Operations
These tools let your AI client interact directly with your Knack application, allowing you to create, read, update, and delete records programmatically.
019d75c1create record
Adds a new entry to a specified Knack object, requiring you to pass the data as a JSON string.
019d75c1delete record
Permanently removes an existing record from a Knack object. Use this carefully.
019d75c1get object schema
Retrieves the metadata for a Knack object, showing its name and high-level structure.
019d75c1get record
Fetches a single record's complete details by providing both the object key and the record ID.
019d75c1list account applications
Lists all Knack applications connected to your account to help verify access or find application IDs.
019d75c1list object fields
Returns a list of all fields for a given Knack object, showing their data types and required keys.
019d75c1list objects
Lists all available database objects in your Knack application, providing the necessary 'Object Key' for other operations.
019d75c1list records
Retrieves a list of all records within a specific Knack object, requiring the object key.
019d75c1search records
Searches for records using complex filters, accepting a JSON string that defines the search criteria.
019d75c1update record
Changes specific fields in an existing record, allowing you to update only the data you need.
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 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
Knack MCP Server lets your AI client manage your no-code database records using natural language. You don't have to click through the Knack dashboard; you just talk to your data. This server exposes every core database operation—CRUD, schema inspection, and more—so your agent handles all the API calls for you.
How Knack MCP Works
- 1 Subscribe to the Knack MCP Server and input your Knack Application ID and REST API Key.
- 2 Your AI client sends a natural language request (e.g., 'Find all active customers in object_1').
- 3 The agent calls the appropriate tool (like
search_records), receives the data, and presents the results back to you in plain text.
The bottom line is you talk to your data, and the agent handles the necessary API calls to get the answer.
Who Is Knack MCP For?
This server is for anyone who works with structured data in Knack but hates clicking through dashboards. Operations managers need to query and update business records fast. Data analysts need to extract specific data sets for reporting. No-code developers need a way to verify API structures without writing boilerplate code.
Needs to quickly find and update a record—like changing a client's status—without navigating complex Knack forms.
Uses the server to query specific data sets (e.g., 'all invoices over $100') and get structured output for reports.
Verifies the database schema and tests API interactions by asking the agent to list fields or get object structure.
What Changes When You Connect
- Instead of manually navigating through Knack's dashboard to find a record, you ask your agent to
get_recordorsearch_recordsand get the full details instantly. - You no longer need to remember object keys. Use
list_objectsfirst to see all available database tables, then use that key to work on the data. - Updating data is simple. Instead of going into the record edit screen, just tell your agent to
update_recordwith the new values. - Schema validation is built in. Use
list_object_fieldsto verify field keys and data types before attempting tocreate_recordorupdate_record. - Managing data volume is easier. Use
list_recordsto see everything in an object, or usesearch_recordsto filter down to only what you need. - The entire process is conversational. You talk to your agent, and it executes the necessary tools like
get_object_schemaandlist_object_fieldsfor you.
Real-World Use Cases
Finding a specific client record
A sales rep needs to check a client's status. Instead of logging into Knack, finding the 'Clients' object, and searching manually, they just ask their agent: 'Find the record for Acme Corp.' The agent uses get_record and returns the full, up-to-date profile.
Auditing old invoices
The finance team needs to verify all invoices over $500 from last quarter. They ask their agent to run a complex search. The agent uses search_records with specific date and value filters, giving them a clean list for reporting.
Mass data cleanup
An operations manager finds 50 records with incorrect status flags. They ask the agent to update them. The agent uses update_record in a batch fashion, fixing the status across multiple records without manual intervention.
Building a new data workflow
A developer needs to know what fields are available in a 'Product' object. They ask the agent to list fields. The agent uses list_object_fields and returns the JSON schema, letting the developer continue building the application.
The Tradeoffs
Trying to update data without knowing the field key
Writing a prompt like, 'Change John Doe's status to Active' without telling the agent which object or field name to use. The agent fails because it can't map the natural language to the required API structure.
→
First, use list_object_fields to get the exact field key (e.g., status_field). Then, instruct the agent to run update_record using that specific key and the new value.
Attempting to list records without specifying the object
Asking the agent, 'Show me all the records.' The agent can't know which database object you mean, resulting in an ambiguous error.
→
Always start by using list_objects to identify the correct object key (e.g., object_1). Then, ask the agent to run list_records specifically on that object key.
Creating a record without verifying required fields
Telling the agent to create_record with only a name. The Knack API will reject it because the 'Email' field is mandatory, and the agent doesn't know the contract.
→
Always call get_object_schema or list_object_fields first. This confirms which fields are mandatory and what data types are expected before you attempt to create_record.
When It Fits, When It Doesn't
Use this server if your core workflow is managing structured, relational data stored in Knack. It's essential when you need to perform CRUD operations or complex lookups without leaving your AI client.
Don't use it if: You only need to read a small, static document, or if the data source is external to Knack (e.g., a spreadsheet). In those cases, a simple text file or document tool is better.
Use it if: You need to query, create, or update records based on business logic (e.g., 'find all customers whose status is 'Pending' AND who haven't ordered in 60 days'). For this, search_records is your primary tool.
The boundary: If you just need to see the structure, use list_object_fields. If you need to write to the structure, use create_record or update_record. Never assume a field exists; always check the schema first.
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.
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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 cross-referencing data across multiple Knack dashboards is a time sink.
Today, finding specific data requires clicking through object menus, running multiple filters, and often copying and pasting IDs between different Knack views. If you need to see the full history of a client, you might have to visit the 'Contacts' object, then the 'Order' object, and then cross-reference a third 'Billing' object, just to get a complete picture.
With the Knack MCP Server, you just ask your agent: 'Give me the full history for Client X.' The agent runs the necessary data calls—`get_record`, `list_objects`, and potentially `search_records`—and gives you the complete, synthesized answer in one chat response. No more clicking.
Knack MCP Server: Update records using natural language.
The old way is tedious: you find the record ID, navigate to the edit page, click the status dropdown, select the new status, and hit save. If you need to change 20 records, you repeat those 20 steps, risking human error every single time.
Now, you simply tell your agent, 'Change the status of all records in object_1 that are 'Lead' to 'Qualified'.' The agent executes `update_record` with the correct logic, handling the entire bulk operation safely and instantly. It's direct, reliable, and fast.
Common Questions About Knack MCP
How do I start using the Knack MCP Server to find data? +
You start by asking your agent to list_objects. This command shows you all the available database tables (objects) in your Knack application, giving you the necessary keys to proceed.
Can I update a record without knowing all the field keys? +
No. You must first use list_object_fields to identify the exact field key (like email_address) and then use that key when running the update_record tool.
What is the best tool for finding one specific record? +
Use get_record if you have both the object key and the record ID. If you only have some information (like a name), use search_records with filters instead.
Does Knack MCP Server handle large datasets? +
Yes. You can use list_records or search_records to handle large volumes of data. Remember to specify the object key for these functions to avoid ambiguity.
How do I use `get_object_schema` to understand my Knack database structure? +
It returns the object name, key, and high-level structure of your database table. This is the first step you need to verify you're working with the correct data set.
What should I do if `create_record` fails due to missing fields? +
If a record creation fails, check the required fields using list_object_fields. You must provide the data as a JSON string matching the object's required schema.
Does `search_records` handle complex filtering logic? +
Yes, you provide filters as a JSON string following the Knack Filter format. This lets you search for records based on complex criteria across multiple fields.
Which tool should I use for viewing all available records in an object? +
Use list_records to browse the actual data stored in your database. You just need to provide the object key to see all existing records.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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