Zenkit MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zenkit through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"zenkit": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Zenkit Agent",
instructions:
"You help users interact with Zenkit " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Zenkit?"
);
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 Zenkit MCP Server
Connect your Zenkit account to any AI agent to streamline your productivity and project management. This MCP server enables your agent to interact with workspaces, lists (collections), and data entries directly from natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Zenkit tool infrastructure. Connect 8 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
- Workspace Oversight — List all workspaces and retrieve their constituent lists and metadata
- List Management — Query detailed configurations and field elements for any Zenkit list
- Data Operations — List, retrieve, create, and update entries (items) within your collections
- Field Discovery — Inspect list elements to understand the data structure and field types
- Content Cleanup — Delete entries and maintain your lists directly via natural language commands
The Zenkit MCP Server exposes 8 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 Zenkit to Mastra AI via MCP
Follow these steps to integrate the Zenkit 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 8 tools from Zenkit via MCP
Why Use Mastra AI with the Zenkit MCP Server
Mastra AI provides unique advantages when paired with Zenkit through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zenkit 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 Zenkit 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
Zenkit + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Zenkit MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Zenkit, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Zenkit as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Zenkit on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Zenkit tools alongside other MCP servers
Zenkit MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Zenkit to Mastra AI via MCP:
create_entry
Requires a JSON object with field values. Create a new entry in a list
delete_entry
Delete an entry from a list
get_list_details
Get details for a specific list
get_workspace_details
Get details for a specific workspace
list_elements
List all elements (fields) defined in a list
list_entries
List all entries (items) in a list
list_workspaces
List all workspaces and their lists
update_entry
Update an existing entry
Example Prompts for Zenkit in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Zenkit immediately.
"List all my Zenkit workspaces and their collections."
"Show me all entries in the list with ID '98765'."
"Create a new entry in list '98765' with name 'Finish API documentation'."
Troubleshooting Zenkit MCP Server with Mastra AI
Common issues when connecting Zenkit to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZenkit + Mastra AI FAQ
Common questions about integrating Zenkit 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 Zenkit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Zenkit to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.