ThinkingData / 数数科技 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 ThinkingData / 数数科技 through the 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: {
"thinkingdata": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ThinkingData / 数数科技 Agent",
instructions:
"You help users interact with ThinkingData / 数数科技 " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ThinkingData / 数数科技?"
);
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 ThinkingData / 数数科技 MCP Server
Empower your AI agent to orchestrate your data analytics and player insights with ThinkingData (数数科技), the premier analytics platform for the global gaming industry. By connecting ThinkingData to your agent, you transform complex event querying, user profile auditing, and cohort management into a natural conversation. Your agent can instantly retrieve project metadata, list defined events and their schemas, execute complex behavioral queries, and even ingest custom events without you ever needing to navigate the comprehensive TA Dashboard. Whether you are conducting a player retention audit or coordinating a live-ops event refresh, your agent acts as a real-time data coordinator, providing accurate results from a single, authorized source.
Mastra's agent abstraction provides a clean separation between LLM logic and ThinkingData / 数数科技 tool infrastructure. Connect 8 tools through the 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
- Project Orchestration — Retrieve project summaries, list defined events, and discover property schemas.
- Behavioral Auditing — Execute complex queries on event data to understand player behavior and conversion funnels.
- User Management — Query user profile data and update properties for specific distinct IDs.
- Data Ingestion — Track custom events and set user properties directly through the agent for rapid testing.
- Operational Insights — List defined user cohorts, saved reports, and monitor API connectivity status.
The ThinkingData / 数数科技 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 ThinkingData / 数数科技 to Mastra AI via MCP
Follow these steps to integrate the ThinkingData / 数数科技 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 ThinkingData / 数数科技 via MCP
Why Use Mastra AI with the ThinkingData / 数数科技 MCP Server
Mastra AI provides unique advantages when paired with ThinkingData / 数数科技 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add ThinkingData / 数数科技 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 ThinkingData / 数数科技 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
ThinkingData / 数数科技 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ThinkingData / 数数科技 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ThinkingData / 数数科技, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ThinkingData / 数数科技 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ThinkingData / 数数科技 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ThinkingData / 数数科技 tools alongside other MCP servers
ThinkingData / 数数科技 MCP Tools for Mastra AI (8)
These 8 tools become available when you connect ThinkingData / 数数科技 to Mastra AI via MCP:
get_event_properties
Get properties for event
get_project_summary
Get project overview
list_defined_events
List project events
list_project_cohorts
List user cohorts
query_events
Execute event query
query_users
Execute user query
set_user_properties
Update user profile
track_custom_event
Track a single event
Example Prompts for ThinkingData / 数数科技 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ThinkingData / 数数科技 immediately.
"Show me a summary of our ThinkingData project configuration."
"List all defined events in ThinkingData."
"Check the profile for user 'USER_88210934'."
Troubleshooting ThinkingData / 数数科技 MCP Server with Mastra AI
Common issues when connecting ThinkingData / 数数科技 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpThinkingData / 数数科技 + Mastra AI FAQ
Common questions about integrating ThinkingData / 数数科技 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?
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Data-aware AI agent framework for structured and unstructured sources.
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Connect ThinkingData / 数数科技 to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.