Sunsama 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 Sunsama 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: {
"sunsama": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Sunsama Agent",
instructions:
"You help users interact with Sunsama " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Sunsama?"
);
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 Sunsama MCP Server
Integrate the mindful focus of the Sunsama daily planner directly into your conversational AI environment. Empower your engineering or administrative focus by allowing your LLM to intuitively pull tasks, filter backlog activities, and assign contexts dynamically without constant tab-switching. With this MCP connector attached securely to your workspace, your conversational agent functions as an objective scheduling assistant, seamlessly tracking and resolving your agenda.
Mastra's agent abstraction provides a clean separation between LLM logic and Sunsama 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
- Agenda Discovery — Query your scheduled events actively using
list_tasksand retrieve deep contextual dependencies of an item utilizingget_task_details. - Task Orchestration — Add new action items seamlessly via
create_taskor modify ongoing assignments intuitively usingupdate_task. - Taxonomy Mapping — Review your organizational frameworks executing
list_channelsandlist_contextsto accurately file items according to team domains. - Profile Confirmations — Safely extract your user metadata boundaries and operational statuses natively invoking
get_user_profile.
The Sunsama 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 Sunsama to Mastra AI via MCP
Follow these steps to integrate the Sunsama 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 Sunsama via MCP
Why Use Mastra AI with the Sunsama MCP Server
Mastra AI provides unique advantages when paired with Sunsama through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Sunsama 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 Sunsama 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
Sunsama + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Sunsama MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Sunsama, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Sunsama as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Sunsama on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Sunsama tools alongside other MCP servers
Sunsama MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Sunsama to Mastra AI via MCP:
create_task
Provide text and an optional planned date. Creates a new task in Sunsama
delete_task
This action is irreversible. Permanently deletes a task
get_task_details
Retrieves details for a specific task
get_user_profile
Retrieves the current user profile
list_channels
g., "Work", "Personal"). Lists available Sunsama channels
list_contexts
Lists available Sunsama contexts
list_tasks
You can filter by date. Lists all tasks in Sunsama
update_task
Updates an existing task
Example Prompts for Sunsama in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Sunsama immediately.
"List my tasks for today, complete the design review, and schedule a documentation update for next Monday."
"Read my custom organizational domains running `list_channels` securely, and pull contextual details applying `list_contexts` effectively."
"Verify my identity token evaluating the API user profile comprehensively."
Troubleshooting Sunsama MCP Server with Mastra AI
Common issues when connecting Sunsama to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSunsama + Mastra AI FAQ
Common questions about integrating Sunsama 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 Sunsama 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 Sunsama to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.