Knack MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Knack through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"knack": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Knack Agent",
instructions:
"You help users interact with Knack " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Knack?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Knack MCP Server
Connect your Knack application to any AI agent and take full control of your no-code database through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Knack tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Database Schema Discovery — List all objects and fields to understand your data structure without leaving the chat
- Record Management — Create, retrieve, update, and delete records in any object securely
- Advanced Querying — Search for specific records using complex filters based on any field criteria
- Data Auditing — Get detailed summaries of specific records to verify information or track changes
- Bulk Operations — Effortlessly manage multiple records by providing structured data to your agent
The Knack MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Knack to Mastra AI via MCP
Follow these steps to integrate the Knack MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Knack via MCP
Why Use Mastra AI with the Knack MCP Server
Mastra AI provides unique advantages when paired with Knack through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Knack without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Knack tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Knack + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Knack MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Knack, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Knack as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Knack on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Knack tools alongside other MCP servers
Knack MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Knack to Mastra AI via MCP:
create_record
You must provide the data as a JSON string where keys are the field keys (e.g., field_1). Ensure you have checked the object schema first to know which fields are required. Create a new record in a Knack object
delete_record
Use with caution as this action cannot be undone. Delete a record from a Knack object
get_object_schema
Returns metadata including the object name, key, and high-level structure. Use this to verify you are working with the correct database table. Get the schema of a specific Knack object
get_record
Requires both the object_key and the record_id. Use this for detailed auditing of a specific entry. Get a specific record by ID
list_account_applications
Use this to verify access or discover application IDs. List all applications in the account
list_object_fields
This is crucial for understanding the data types and identifying the field keys (field_1, field_2, etc.) needed for creating or updating records. List all fields for a specific Knack object
list_objects
This is the first step to understand the database structure and find the "Object Key" needed for record operations. List all objects in the Knack application
list_records
You must provide the object_key. Use this to browse the actual data stored in your database. List records for a specific Knack object
search_records
The filters must be provided as a JSON string following the Knack Filter format (e.g., "[{\"field\":\"field_1\", \"operator\":\"is\", \"value\":\"test\"}]"). Search for records using filters
update_record
Provide only the fields you wish to change in the JSON string data. This is a partial update. Update an existing record in a Knack object
Example Prompts for Knack in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Knack immediately.
"List all database objects in my Knack app"
"Find all premium customers in 'object_1'"
"Create a new customer in 'object_1' with name 'Sarah' and email 'sarah@example.com'"
Troubleshooting Knack MCP Server with Mastra AI
Common issues when connecting Knack to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKnack + Mastra AI FAQ
Common questions about integrating Knack MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Knack with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Knack to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.