Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) as an MCP tool provider through the 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="lindy_autonomous_ai_employees_agent",
instruction=(
"You help users interact with Lindy (Autonomous AI Employees) "
"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 Lindy (Autonomous AI Employees) MCP Server
Connect your Lindy.ai account to any AI agent and take full control of your autonomous AI workforce and automated business processes through natural conversation.
Google ADK natively supports Lindy (Autonomous AI Employees) as an MCP tool provider — declare the 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
- Lindy Orchestration — List all custom autonomous assistants (Lindies) built in your workspace and retrieve their core configurations and prompt instructions directly from your agent
- Task Execution — Trigger specific Lindies to start asynchronous task runs using dynamic JSON payloads to automate complex business workflows
- Reasoning Audit — Dump literal LLM reasoning logs for specific run loops to understand how your autonomous agents are making decisions and identifying steps
- Run Monitoring — Track the state of active executions and manage lifecycle controls, including the ability to cancel runs stuck in context loops securely
- Integration Visibility — Enumerate secure connections to third-party apps like Slack, Gmail, and CRM systems to manage your AI's reach across your software stack
- Workspace Management — Navigate organizational boundaries and team structures to understand how Lindies are distributed across your company
The Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) to Google ADK via MCP
Follow these steps to integrate the Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) via MCP
Why Use Google ADK with the Lindy (Autonomous AI Employees) MCP Server
Google ADK provides unique advantages when paired with Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees)
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 Lindy (Autonomous AI Employees) tools with BigQuery, Vertex AI, and Cloud Functions
Lindy (Autonomous AI Employees) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Lindy (Autonomous AI Employees) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Lindy (Autonomous AI Employees) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Lindy (Autonomous AI Employees) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Lindy (Autonomous AI Employees) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lindy (Autonomous AI Employees)
Lindy (Autonomous AI Employees) MCP Tools for Google ADK (10)
These 10 tools become available when you connect Lindy (Autonomous AI Employees) to Google ADK via MCP:
cancel_run
Cancel a running execution dispatching hard stops interrupting trapped context loops
get_lindy
Get configuration mappings including standard tools and prompts for a specific Lindy
get_run
Get specific state for a Run blocking on Human input or External APIs
get_run_logs
Dump literal LLM reasoning logs isolating a specific run loop
list_integrations
List bounded third-party app connections securely connected (e.g Slack, Gmail)
list_lindies
List all custom autonomous AI Assistants (Lindies) built on the workspace
list_runs
List recent runs validating the full execution graph isolating active Lindy instances
list_triggers
List how autonomous AI agents are woken up (Cron, Webhook, API)
list_workspaces
List all explicit organizational boundaries structuring isolated Teams
trigger_lindy
Trigger a Lindy to start an asynchronous task run parsing a JSON payload
Example Prompts for Lindy (Autonomous AI Employees) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Lindy (Autonomous AI Employees) immediately.
"List all active Lindies in my workspace"
"Show me the reasoning logs for the last run of 'Sales-Research-Lindy'"
"What triggers are currently configured for our autonomous agents?"
Troubleshooting Lindy (Autonomous AI Employees) MCP Server with Google ADK
Common issues when connecting Lindy (Autonomous AI Employees) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkLindy (Autonomous AI Employees) + Google ADK FAQ
Common questions about integrating Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Lindy (Autonomous AI Employees) to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.