Onboard.io Implementation MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Onboard.io Implementation and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"onboardio-implementation": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Onboard.io Implementation into an in-editor superpower. Ask Cursor to generate code using live data from Onboard.io Implementation and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Onboard.io Implementation MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Onboard.io Implementation
Open Agent mode in chat and ask: "Using Onboard.io Implementation, help me...". 10 tools available
Why Use Cursor with the Onboard.io Implementation MCP Server
Cursor AI Code Editor provides unique advantages when paired with Onboard.io Implementation through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Onboard.io Implementation + Cursor Use Cases
Practical scenarios where Cursor combined with the Onboard.io Implementation MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Onboard.io Implementation MCP Tools for Cursor (10)
These 10 tools become available when you connect Onboard.io Implementation to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Onboard.io Implementation to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Onboard.io Implementation + Cursor FAQ
Common questions about integrating Onboard.io Implementation MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
