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Beeline 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 Beeline 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="beeline_agent",
    instruction=(
        "You help users interact with Beeline "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Beeline
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 Beeline MCP Server

Connect your Beeline Vendor Management System (VMS) account to any AI agent and orchestrate your contingent workforce operations through natural conversation.

Google ADK natively supports Beeline 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

  • Assignment Oversight — List and inspect active work assignments to monitor external talent deployment.
  • Requisition Management — Query job requisitions and search for open postings within your organization.
  • Time & Expense Tracking — Retrieve submitted timesheets and expense reports for auditing and approval workflows.
  • Supplier Management — List and verify the vendors and suppliers linked to your Beeline account.
  • User Auditing — Retrieve account profile information to ensure correct system access.

The Beeline 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 Beeline to Google ADK via MCP

Follow these steps to integrate the Beeline 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 Beeline via MCP

Why Use Google ADK with the Beeline MCP Server

Google ADK provides unique advantages when paired with Beeline 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 Beeline

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 Beeline tools with BigQuery, Vertex AI, and Cloud Functions

Beeline + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Beeline 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 Beeline

Beeline MCP Tools for Google ADK (10)

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

01

get_assignment

Get details of a specific assignment

02

get_requisition

Get details of a job requisition

03

get_timesheet

Get details of a specific timesheet

04

get_user_info

Get Beeline user profile

05

list_assignments

List active work assignments

06

list_expenses

List expense reports

07

list_requisitions

List job requisitions

08

list_suppliers

List vendors/suppliers

09

list_timesheets

List submitted timesheets

10

search_requisitions

Search job requisitions by keyword

Example Prompts for Beeline in Google ADK

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

01

"List all active assignments in Beeline."

02

"Search for open requisitions matching 'React'."

03

"Show me recent timesheets that need review."

Troubleshooting Beeline MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Beeline + Google ADK FAQ

Common questions about integrating Beeline 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 Beeline to Google ADK

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