Beekeeper MCP Server for Google ADK 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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],
)
* 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.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
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.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Beekeeper
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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.
Enterprise data agents: ADK agents query Beekeeper and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Beekeeper tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Beekeeper regularly and flag policy violations or configuration drift
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:
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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Beekeeper to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkBeekeeper + Google ADK FAQ
Common questions about integrating Beekeeper MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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.
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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 Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
