Zeev MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zeev 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 for Mastra AI
The Zeev MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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: {
"zeev": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Zeev Agent",
instructions:
"You help users interact with Zeev " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Zeev?"
);
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 Zeev MCP Server
What you can do
- List and manage your pending tasks in real-time.
- Start new process requests with custom form data.
- Complete tasks and make decisions directly from your AI agent.
- Delegate tasks to other team members and track process history.
Who is it for?
- Process managers looking for automated workflow control.
- Operations teams needing quick task execution.
- Developers integrating BPM into their AI-driven applications.
Mastra's agent abstraction provides a clean separation between LLM logic and Zeev tool infrastructure. Connect 11 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.
The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Zeev tools available for Mastra AI
When Mastra AI connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Cancel request on Zeev
Cancel an active process request
Create request on Zeev
Start a new process request in Zeev
Delegate task on Zeev
Delegate a task to another user
Finish task on Zeev
Finish/Complete a Zeev task
Get me on Zeev
Get current user information
Get process on Zeev
Get details of a process definition
Get request on Zeev
Get details of a specific process request
Get task on Zeev
Get details of a specific Zeev task
List processes on Zeev
List available process definitions
List requests on Zeev
List process requests (instances) in Zeev
List tasks on Zeev
List pending tasks in Zeev
Connect Zeev to Mastra AI via MCP
Follow these steps to wire Zeev into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Zeev MCP Server
Mastra AI provides unique advantages when paired with Zeev through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zeev 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 Zeev 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
Zeev + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Zeev MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Zeev, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Zeev as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Zeev on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Zeev tools alongside other MCP servers
Example Prompts for Zeev in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Zeev immediately.
"List my pending tasks in Zeev."
"Finish task 123 with decision 'Approved'."
"Start a new 'Expense Report' process."
Troubleshooting Zeev MCP Server with Mastra AI
Common issues when connecting Zeev to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZeev + Mastra AI FAQ
Common questions about integrating Zeev 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?
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