2,500+ MCP servers ready to use
Vinkius

Beekeeper MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Beekeeper as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="beekeeper_agent",
    instruction=(
        "You help users interact with Beekeeper "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Beekeeper
Fully ManagedVinkius Servers
60%Token savings
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 Beekeeper MCP Server

Connect your Beekeeper account to any AI agent and streamline your internal communications and frontline management through natural conversation.

Google ADK natively supports Beekeeper as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Beekeeper MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Beekeeper via MCP

Why Use Google ADK with the Beekeeper MCP Server

Google ADK provides unique advantages when paired with Beekeeper through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Beekeeper

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Beekeeper tools with BigQuery, Vertex AI, and Cloud Functions

Beekeeper + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Beekeeper MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Beekeeper and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Beekeeper tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Beekeeper regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Beekeeper

Beekeeper MCP Tools for Google ADK (10)

These 10 tools become available when you connect Beekeeper to Google ADK via MCP:

01

create_post

Create a new post in a stream

02

get_tenant_info

Retrieve Beekeeper tenant information

03

get_user

Get details of a specific user

04

list_groups

List Beekeeper groups

05

list_messages

List messages in a conversation

06

list_posts

List posts in a specific stream

07

list_streams

List Beekeeper streams (channels)

08

list_users

List all Beekeeper users

09

search_users

Search for users by name or email

10

send_message

Send a direct message to a user

Example Prompts for Beekeeper in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Beekeeper immediately.

01

"List all active communication streams on Beekeeper."

02

"Post to stream str_2: 'Reminder: New safety protocols start tomorrow morning.'"

03

"Find the user ID for 'Sarah Miller'."

Troubleshooting Beekeeper MCP Server with Google ADK

Common issues when connecting Beekeeper to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Beekeeper + Google ADK FAQ

Common questions about integrating Beekeeper MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Beekeeper to Google ADK

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