Cacheflow MCP Server for Google ADKGive Google ADK instant access to 6 tools to Create Proposal, Get Approval Requests, Get Proposal Details, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Cacheflow 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 Cacheflow app connector for Google ADK is a standout in the Sales Automation category — giving your AI agent 6 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="cacheflow_agent",
instruction=(
"You help users interact with Cacheflow "
"using 6 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 Cacheflow MCP Server
Connect your Cacheflow account to any AI agent and take full control of your automated sales proposals and checkout workflows through natural conversation.
Google ADK natively supports Cacheflow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- Proposal Orchestration — List and manage active sales proposals programmatically, including monitoring their status (sent, viewed, signed) and retrieving detailed metadata
- Approval Workflow Intelligence — Access your pending approval requests to maintain a high-velocity sales cycle and oversee the internal signing pipeline in real-time
- CRM Ecosystem Sync — Programmatically trigger the synchronization of proposal data to your connected Salesforce or HubSpot instance to ensure high-fidelity records
- Customer Oversight — Retrieve complete directories of external customers synced from your CRM to maintain a perfectly coordinated relationship ecosystem
- Revenue Visibility — Access specific proposal details and monitor sales performance metrics directly through your agent for instant operational reporting
The Cacheflow MCP Server exposes 6 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 6 Cacheflow tools available for Google ADK
When Google ADK connects to Cacheflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning cpq, sales-proposals, b2b-checkout, 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.
Pass data as a JSON string. Create a new sales proposal
List pending approvals for me
Get specific proposal details
List external customers
List all sales proposals
Sync proposal to CRM
Connect Cacheflow to Google ADK via MCP
Follow these steps to wire Cacheflow 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 Cacheflow MCP Server
Google ADK provides unique advantages when paired with Cacheflow 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 Cacheflow
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 Cacheflow tools with BigQuery, Vertex AI, and Cloud Functions
Cacheflow + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Cacheflow MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Cacheflow and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Cacheflow tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Cacheflow regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Cacheflow
Example Prompts for Cacheflow in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Cacheflow immediately.
"List all active sales proposals in my account."
"Show my pending internal approval requests."
"Sync proposal 'prop_123' to HubSpot."
Troubleshooting Cacheflow MCP Server with Google ADK
Common issues when connecting Cacheflow to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkCacheflow + Google ADK FAQ
Common questions about integrating Cacheflow MCP Server with Google ADK.