Mode (Collaborative Data Platform) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mode (Collaborative Data Platform) 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: {
"mode-collaborative-data-platform": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Mode (Collaborative Data Platform) Agent",
instructions:
"You help users interact with Mode (Collaborative Data Platform) " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Mode (Collaborative Data Platform)?"
);
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 Mode (Collaborative Data Platform) MCP Server
Connect your Mode Analytics account to any AI agent and take full control of your enterprise business intelligence, collaborative SQL reporting, and data source management through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Mode (Collaborative Data Platform) tool infrastructure. Connect 7 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
- Report Orchestration — List all managed data reports and retrieve detailed analytical parameters, including chart configurations and query states directly from your agent
- Space Navigation — Explore organizational 'Spaces' (Personal, Shared) to retrieve the exact report tokens needed to query scoped analytical boundaries natively
- Global Analytics Search — Execute workspace-wide searches to identify specific reports and datasets matching literal metadata descriptions or keywords
- Data Source Audit — Enumerate explicit database and warehouse connector sources bound to your Mode account to understand which schemas are available for querying
- Member Tracking — List statically tracked analytical users within your workspace to verify report ownership and collaborative boundaries securely
- Metadata Inspection — Deep-dive into specific Report or Space tokens to retrieve precise configuration details and chart definitions instantly
The Mode (Collaborative Data Platform) MCP Server exposes 7 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 Mode (Collaborative Data Platform) to Mastra AI via MCP
Follow these steps to integrate the Mode (Collaborative Data Platform) 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 7 tools from Mode (Collaborative Data Platform) via MCP
Why Use Mastra AI with the Mode (Collaborative Data Platform) MCP Server
Mastra AI provides unique advantages when paired with Mode (Collaborative Data Platform) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mode (Collaborative Data Platform) 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 Mode (Collaborative Data Platform) 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
Mode (Collaborative Data Platform) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Mode (Collaborative Data Platform) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Mode (Collaborative Data Platform), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Mode (Collaborative Data Platform) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Mode (Collaborative Data Platform) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Mode (Collaborative Data Platform) tools alongside other MCP servers
Mode (Collaborative Data Platform) MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Mode (Collaborative Data Platform) to Mastra AI via MCP:
get_report
Get specific analytical parameters mapping a single tracked Mode report token
get_space
Get parameters mapping an explicitly targeted collection Space
list_data_sources
List explicit Database/Warehouse connector sources bound to Mode
list_members
List statically tracked analytical users joined within the workspace
list_reports
List static data reports generated by the Mode workspace
list_spaces
List accessible Spaces isolating datasets across the Mode workspace
search_reports
Search all reports evaluating queries natively against Mode API
Example Prompts for Mode (Collaborative Data Platform) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Mode (Collaborative Data Platform) immediately.
"List all reports in my 'Shared' space"
"Search for any reports related to 'Marketing ROI' in the workspace"
"Show me the data sources currently connected to our Mode account"
Troubleshooting Mode (Collaborative Data Platform) MCP Server with Mastra AI
Common issues when connecting Mode (Collaborative Data Platform) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMode (Collaborative Data Platform) + Mastra AI FAQ
Common questions about integrating Mode (Collaborative Data Platform) 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 Mode (Collaborative Data Platform) 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 Mode (Collaborative Data Platform) to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.