leadtributor.cloud MCP Server for Google ADKGive Google ADK instant access to 12 tools to Add Activity, Check Leadtributor Status, Create Lead, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add leadtributor.cloud as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The leadtributor.cloud app connector for Google ADK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="leadtributorcloud_agent",
instruction=(
"You help users interact with leadtributor.cloud "
"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 leadtributor.cloud MCP Server
Connect your leadtributor.cloud account to any AI agent and take full control of your channel lead distribution and automated partner management through natural conversation.
Google ADK natively supports leadtributor.cloud 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
- Lead Distribution Orchestration — List and manage all distributed leads programmatically, retrieving detailed partner assignment metadata and acceptance status
- Partner & Channel Intelligence — Programmatically retrieve directories of channel partners and access complete high-fidelity performance profiles in real-time
- Conversion Graph Monitoring — Access real-time status updates for lead conversion and track individual partner performance directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity lead sources and history to maintain a perfectly coordinated audit trail of your channel sales
- Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling
The leadtributor.cloud 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.
All 12 leadtributor.cloud tools available for Google ADK
When Google ADK connects to leadtributor.cloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning partner-management, lead-routing, channel-sales, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add lead activity
Verify connectivity
Create a lead
Get lead details
Get partner details
Get partner stats
List lead activities
List leads
List leads by partner
List leads by status
List partners
Update a lead
Connect leadtributor.cloud to Google ADK via MCP
Follow these steps to wire leadtributor.cloud into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the leadtributor.cloud MCP Server
Google ADK provides unique advantages when paired with leadtributor.cloud 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 leadtributor.cloud
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 leadtributor.cloud tools with BigQuery, Vertex AI, and Cloud Functions
leadtributor.cloud + Google ADK Use Cases
Practical scenarios where Google ADK combined with the leadtributor.cloud MCP Server delivers measurable value.
Enterprise data agents: ADK agents query leadtributor.cloud and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine leadtributor.cloud tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query leadtributor.cloud regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including leadtributor.cloud
Example Prompts for leadtributor.cloud in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with leadtributor.cloud immediately.
"List all leads distributed to partners this week."
"Show the conversion status for lead ID 'lead_456'."
"Check the performance metrics for 'Partner X'."
Troubleshooting leadtributor.cloud MCP Server with Google ADK
Common issues when connecting leadtributor.cloud to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkleadtributor.cloud + Google ADK FAQ
Common questions about integrating leadtributor.cloud MCP Server with Google ADK.