ZenHub 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 ZenHub 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: {
"zenhub": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ZenHub Agent",
instructions:
"You help users interact with ZenHub " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ZenHub?"
);
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 ZenHub MCP Server
Connect your ZenHub account to any AI agent to streamline your agile project management on GitHub. This MCP server enables your agent to interact with pipelines, issues, estimates, and epics directly from natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and ZenHub 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
- Board Visibility — List all pipelines and issues for specific GitHub repositories or ZenHub workspaces
- Agile Status Management — Move issues between pipelines to update their workflow status instantly
- Precision Estimating — Set and retrieve story point estimates for any GitHub issue
- Epic Oversight — List and inspect ZenHub epics and their constituent issues
- Release Tracking — Access release reports and progress metadata for your projects
The ZenHub 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 ZenHub to Mastra AI via MCP
Follow these steps to integrate the ZenHub 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 ZenHub via MCP
Why Use Mastra AI with the ZenHub MCP Server
Mastra AI provides unique advantages when paired with ZenHub through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ZenHub 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 ZenHub 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
ZenHub + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ZenHub MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ZenHub, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ZenHub as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ZenHub on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ZenHub tools alongside other MCP servers
ZenHub MCP Tools for Mastra AI (8)
These 8 tools become available when you connect ZenHub to Mastra AI via MCP:
get_epic_data
Get details for a specific epic
get_repo_board
Get the ZenHub board for a repository
get_workspace_board
Get the ZenHub board for a specific workspace and repository
get_zenhub_issue_data
Get ZenHub-specific metadata for a GitHub issue
list_release_reports
List release reports for a repository
list_repo_epics
List all ZenHub epics for a repository
move_issue_between_pipelines
Move an issue to a different pipeline
set_issue_estimate
Set the story point estimate for an issue
Example Prompts for ZenHub in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ZenHub immediately.
"Show me the ZenHub board for repository ID '12345678'."
"Move issue #45 in repo '12345678' to the 'In Progress' pipeline (ID: '56789') in workspace '98765'."
"What are the estimates for all issues in the current epic?"
Troubleshooting ZenHub MCP Server with Mastra AI
Common issues when connecting ZenHub to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZenHub + Mastra AI FAQ
Common questions about integrating ZenHub 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 ZenHub 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 ZenHub to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.