Beekeeper MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Beekeeper 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: {
"beekeeper": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Beekeeper Agent",
instructions:
"You help users interact with Beekeeper " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Beekeeper?"
);
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 Beekeeper MCP Server
Connect your Beekeeper account to any AI agent and streamline your internal communications and frontline management through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Beekeeper 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
- User & Group Management — List all employees and groups to maintain an organized organizational structure.
- Stream & Post Control — Manage communication channels (streams) and publish updates to keep everyone informed.
- Direct Messaging — Send messages and retrieve conversation histories to facilitate instant communication.
- Tenant Insights — Access tenant information and system metadata for administrative oversight.
- Advanced Search — Quickly find specific users by name or email to coordinate efforts effectively.
The Beekeeper 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 Beekeeper to Mastra AI via MCP
Follow these steps to integrate the Beekeeper 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 10 tools from Beekeeper via MCP
Why Use Mastra AI with the Beekeeper MCP Server
Mastra AI provides unique advantages when paired with Beekeeper through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Beekeeper 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 Beekeeper 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
Beekeeper + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Beekeeper MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Beekeeper, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Beekeeper as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Beekeeper on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Beekeeper tools alongside other MCP servers
Beekeeper MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Beekeeper to Mastra AI via MCP:
create_post
Create a new post in a stream
get_tenant_info
Retrieve Beekeeper tenant information
get_user
Get details of a specific user
list_groups
List Beekeeper groups
list_messages
List messages in a conversation
list_posts
List posts in a specific stream
list_streams
List Beekeeper streams (channels)
list_users
List all Beekeeper users
search_users
Search for users by name or email
send_message
Send a direct message to a user
Example Prompts for Beekeeper in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Beekeeper immediately.
"List all active communication streams on Beekeeper."
"Post to stream str_2: 'Reminder: New safety protocols start tomorrow morning.'"
"Find the user ID for 'Sarah Miller'."
Troubleshooting Beekeeper MCP Server with Mastra AI
Common issues when connecting Beekeeper to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBeekeeper + Mastra AI FAQ
Common questions about integrating Beekeeper 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 Beekeeper 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 Beekeeper to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.