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Vinkius

Bevy Community MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Bevy Community through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "bevy-community": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Bevy Community Agent",
    instructions:
      "You help users interact with Bevy Community " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Bevy Community?"
  );
  console.log(result.text);
}

main();
Bevy Community
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Bevy Community MCP Server

Connect your Bevy Community account to any AI agent and orchestrate your virtual and in-person event workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Bevy Community 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

  • Event Oversight — List and inspect all community events, including dates, locations, and descriptions.
  • Chapter Management — Access and manage community chapters (groups) and their regional distribution.
  • Attendee Analysis — Retrieve lists of attendees for specific events to monitor community growth.
  • Event Discovery — Search for events and chapters using keywords to find relevant community activities.
  • Metric Tracking — Get real-time counts of events by status (upcoming, completed, etc.) for reporting.
  • User Insights — List which chapters a specific user belongs to for better community mapping.

The Bevy Community 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 Bevy Community to Mastra AI via MCP

Follow these steps to integrate the Bevy Community MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Bevy Community via MCP

Why Use Mastra AI with the Bevy Community MCP Server

Mastra AI provides unique advantages when paired with Bevy Community through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Bevy Community without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Bevy Community tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Bevy Community + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Bevy Community MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Bevy Community, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Bevy Community as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Bevy Community on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Bevy Community tools alongside other MCP servers

Bevy Community MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Bevy Community to Mastra AI via MCP:

01

get_chapter

Get specific chapter details

02

get_event

Get specific event details

03

get_event_counts

Retrieve counts of events by status

04

list_chapters

List all community chapters

05

list_event_attendees

List attendees for a specific event

06

list_event_types

List available event types/categories

07

list_events

List all community events

08

list_user_chapters

List chapters a specific user belongs to

09

search_chapters

Search for chapters by keyword

10

search_events

Search for events by keyword

Example Prompts for Bevy Community in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Bevy Community immediately.

01

"List all upcoming events in our community."

02

"Search for events matching 'SaaS'."

03

"Show the count of completed events this month."

Troubleshooting Bevy Community MCP Server with Mastra AI

Common issues when connecting Bevy Community to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Bevy Community + Mastra AI FAQ

Common questions about integrating Bevy Community MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Bevy Community to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.