Factorial MCP Server for Google ADK 12 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Factorial 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="factorial_agent",
instruction=(
"You help users interact with Factorial "
"using 12 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 Factorial MCP Server
Connect your Factorial HR account to any AI agent and take full control of your human resources management and organizational workflows through natural conversation.
Google ADK natively supports Factorial as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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
- Employee & Team Orchestration — List all registered employees and teams to retrieve detailed profiles, organizational roles, and department structures natively
- Leave & Absence Monitoring — Fetch all holiday and leave requests for any given year to track team availability and upcoming time-off boundaries flawlessly
- Shift & Schedule Navigation — Retrieve detailed shift scheduling information for specific months to audit team rotations and operational coverage securely
- Payroll Oversight — List available payslips across the organization for specific months to verify compensation records and financial trail metadata
- Document Discovery — Access stored company documents and folders to retrieve HR policies and internal documentation using natural language
- Company Data Auditing — Fetch global company metadata and administrative configurations to verify workspace settings and organizational identities
- Personnel Intelligence — Resolve specific employee contexts including contact details, manager relationships, and hiring dates limitlessly
The Factorial MCP Server exposes 12 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 Factorial to Google ADK via MCP
Follow these steps to integrate the Factorial 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 12 tools from Factorial via MCP
Why Use Google ADK with the Factorial MCP Server
Google ADK provides unique advantages when paired with Factorial 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 Factorial
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 Factorial tools with BigQuery, Vertex AI, and Cloud Functions
Factorial + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Factorial MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Factorial and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Factorial tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Factorial regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Factorial
Factorial MCP Tools for Google ADK (12)
These 12 tools become available when you connect Factorial to Google ADK via MCP:
clock_in
Clock in for a shift
clock_out
Clock out from a shift
get_employee
Get a specific Factorial employee by ID
get_me
Get current company identity info
list_documents
List all company documents
list_employees
List all Factorial employees
list_folders
List all company folders
list_holidays
List all holidays for a given year
list_leaves
List all leaves for a given year
list_payslips
List all payslips for a given year and month
list_shifts
List all shifts for a given year and month
list_teams
List all Factorial teams
Example Prompts for Factorial in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Factorial immediately.
"List all employees in the 'Engineering' team"
"Show me upcoming leave requests for June 2026"
"Find HR policy documents in the company folders"
Troubleshooting Factorial MCP Server with Google ADK
Common issues when connecting Factorial to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFactorial + Google ADK FAQ
Common questions about integrating Factorial 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 Factorial with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Factorial to Google ADK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.