ChartHop MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ChartHop 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="charthop_agent",
instruction=(
"You help users interact with ChartHop "
"using 8 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 ChartHop MCP Server
Connect your ChartHop account to any AI agent and take full control of your organizational data and workforce planning through natural conversation. Streamline how you manage your roster and headcount.
Google ADK natively supports ChartHop as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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
- Roster Oversight — List and retrieve details for all people and filled roles in your organization natively
- Headcount Planning — Access and monitor open job positions and headcount scenarios flawlessly
- Organizational Mapping — List departments, teams, and their hierarchical structures securely
- Deep-Dive Profiles — Retrieve complete person information, including job history and compensation metadata flawlessly
- Scenario Visibility — Access and review headcount and compensation planning scenarios in real-time
- System Intelligence — Retrieve core organization information and account settings directly within your workspace
The ChartHop MCP Server exposes 8 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 ChartHop to Google ADK via MCP
Follow these steps to integrate the ChartHop 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 8 tools from ChartHop via MCP
Why Use Google ADK with the ChartHop MCP Server
Google ADK provides unique advantages when paired with ChartHop 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 ChartHop
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 ChartHop tools with BigQuery, Vertex AI, and Cloud Functions
ChartHop + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ChartHop MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ChartHop and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ChartHop tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ChartHop regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ChartHop
ChartHop MCP Tools for Google ADK (8)
These 8 tools become available when you connect ChartHop to Google ADK via MCP:
get_job_details
Get detailed information for a specific job
get_organization_summary
Retrieve core organization information and settings
get_person_details
Get detailed profile information for a specific person
list_organization_departments
List all departments in the organization
list_organization_jobs
List all jobs (roles) in the organization
list_organization_people
List all people (employees) in the organization
list_organization_teams
List all teams in the organization
list_planning_scenarios
List headcount and compensation planning scenarios
Example Prompts for ChartHop in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with ChartHop immediately.
"Show me the headcount summary for my organization."
"List all departments and their leaders."
"Show me details for 'John Smith' in ChartHop."
Troubleshooting ChartHop MCP Server with Google ADK
Common issues when connecting ChartHop to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkChartHop + Google ADK FAQ
Common questions about integrating ChartHop 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 ChartHop 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 ChartHop to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
