Bring Async Check Ins
to Google ADK
Learn how to connect Range to Google ADK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Range MCP Server?
Connect your Range.co account to any AI agent and take full control of your team communication and check-in orchestration through natural conversation. Range provides a premier platform for keeping remote and hybrid teams synchronized, and this integration allows you to retrieve team metadata, monitor check-in updates (snippets), and track organizational objectives directly from your chat interface.
What you can do
- Check-in & Update Orchestration — List all managed updates and retrieve detailed metadata including snippet content programmatically.
- Team & User Lifecycle Management — Access and monitor your workspace teams and retrieve detailed user profile metadata directly from the AI interface.
- Objective & Goal Intelligence — Access organizational objectives to maintain a clear overview of team alignment and progress via natural language.
- Activity & Snippet Control — Retrieve specific snippets and check-in details to stay informed about daily team accomplishments.
- Operational Monitoring — Track system activity and manage workspace metadata using simple AI commands to ensure your team remains high-performing.
How it works
1. Subscribe to this server
2. Enter your Range API Key from your developer settings
3. Start managing your team check-ins from Claude, Cursor, or any MCP-compatible client
No more manual check-in reading or missed status updates. Your AI acts as a dedicated operations manager or team coordinator.
Who is this for?
- Engineering Managers — quickly retrieve daily updates and monitor team progress without switching apps.
- Product Leads — automate the retrieval of objective statuses and track feature delivery via natural conversation.
- Operations Teams — streamline the retrieval of user metadata and monitor organizational health directly within the chat.
Built-in capabilities (11)
Post a new standup update
Get details for a specific objective
Get details of a specific check-in snippet
Get details for a specific team
Get details of a specific update (check-in)
Get details for a specific team member
List all team goals
List team objectives
List all teams
Can be filtered by target_id or for_user_id. List team check-ins (updates)
List all users in the organization
Why Google ADK?
Google ADK natively supports Range as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Range
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Range tools with BigQuery, Vertex AI, and Cloud Functions
Range in Google ADK
Range and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Range to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Range in Google ADK
The Range 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Range for Google ADK
Every tool call from Google ADK to the Range MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the recent check-ins for a specific user?
Yes! Use the list_updates tool with the for_user_id parameter. Your agent will respond with the most recent check-in snippets and status updates in seconds.
How do I find my Range API Key?
Log in to Range, go to Settings > Developer Settings > API Keys, and generate a new key for your account.
Can I see team objectives via the AI?
Yes, use the list_objectives tool to retrieve all active goals and targets configured in your Range workspace.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk