Onboard.io Implementation 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 Onboard.io Implementation 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: {
"onboardio-implementation": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Onboard.io Implementation Agent",
instructions:
"You help users interact with Onboard.io Implementation " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Onboard.io Implementation?"
);
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 Onboard.io Implementation MCP Server
Connect your Onboard.io account to your AI agent and streamline your customer implementation and onboarding workflows through natural conversation and real-time project tracking.
Mastra's agent abstraction provides a clean separation between LLM logic and Onboard.io Implementation 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
- Launch Plan Oversight — List all active customer implementation plans and retrieve detailed progress and metadata.
- Task Management — Access all tasks and milestones associated with specific plans and check their assignments and due dates.
- Customer Monitoring — List and inspect profiles for all customer accounts currently in the onboarding phase.
- Team Collaboration — View internal team members and specialists assigned to your onboarding projects.
- Communication Tracking — Retrieve a history of discussion and internal comments for any launch plan.
- Progress Analytics — Fetch high-level health metrics and percent-complete stats for your implementation workflows.
- Deep Inspection — Fetch complete metadata for specific plans, tasks, or customers using their unique IDs.
The Onboard.io Implementation 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 Onboard.io Implementation to Mastra AI via MCP
Follow these steps to integrate the Onboard.io Implementation 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 Onboard.io Implementation via MCP
Why Use Mastra AI with the Onboard.io Implementation MCP Server
Mastra AI provides unique advantages when paired with Onboard.io Implementation through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Onboard.io Implementation 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 Onboard.io Implementation 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
Onboard.io Implementation + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Onboard.io Implementation MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Onboard.io Implementation, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Onboard.io Implementation as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Onboard.io Implementation on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Onboard.io Implementation tools alongside other MCP servers
Onboard.io Implementation MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Onboard.io Implementation to Mastra AI via MCP:
get_member_details
Get team member profile
get_onboarding_customer_details
Get customer profile info
get_plan_details
Get specific plan info
get_plan_progress_analytics
Get plan health metrics
get_task_details
Get specific task info
list_onboarding_customers
List onboarding customers
list_onboarding_plans
List all implementation plans
list_plan_comments
List plan collaboration comments
list_plan_tasks
List onboarding tasks
list_team_members
io. List onboarding team members
Example Prompts for Onboard.io Implementation in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Onboard.io Implementation immediately.
"List all our active onboarding plans."
"What is the status of the 'API Integration' task in plan 'plan_98765'?"
"Show me the health metrics for the 'Enterprise Launch' project."
Troubleshooting Onboard.io Implementation MCP Server with Mastra AI
Common issues when connecting Onboard.io Implementation to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOnboard.io Implementation + Mastra AI FAQ
Common questions about integrating Onboard.io Implementation 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 Onboard.io Implementation 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 Onboard.io Implementation to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.