Can I update my knowledge base via the agent?

Yes! Use the `create_article` tool to add new information to your Ada knowledge base. This helps the AI bot stay up-to-date with your latest product or policy changes.

What are the API rate limits on Ada?

The default platform API limit is 10,000 requests per day (10 per second). Some specific endpoints, such as the Data Export API, have additional limits like 15,000 requests per day.

Are there quotas per knowledge article in Ada?

Yes, Knowledge Base APIs enforce a constraint of 100KB per individual article, up to a maximum limit of 50,000 global articles in your organization.

Ada MCP Server for Google ADK 4 tools — connect in under 2 minutes

Name: Ada
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Ada as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="ada_agent",
    instruction=(
        "You help users interact with Ada "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Ada MCP Server

Connect your Ada account to your AI agent to unlock advanced customer service automation. From monitoring real-time conversations to managing your knowledge base and syncing user metadata, your agent handles conversational AI orchestration through natural language.

Google ADK natively supports Ada as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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

Conversation Oversight — List and retrieve details of active or past support conversations to identify trends
End User Management — Manage user profiles and sync metadata (metavariables) between Ada and your external systems
Knowledge Management — Create, update, and list articles in your knowledge base to help your AI agent provide better answers
Real-time Analytics — Retrieve insights on automated resolution rates and agent handoff patterns
Compliance Support — Manage data privacy requests and conversation retention directly from your chat interface

The Ada MCP Server exposes 4 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 Ada to Google ADK via MCP

Follow these steps to integrate the Ada 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 4 tools from Ada via MCP

Why Use Google ADK with the Ada MCP Server

Google ADK provides unique advantages when paired with Ada 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 Ada

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 Ada tools with BigQuery, Vertex AI, and Cloud Functions

Ada + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Ada MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Ada and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Ada tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Ada regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Ada

Ada MCP Tools for Google ADK (4)

These 4 tools become available when you connect Ada to Google ADK via MCP:

create_article

Needs title and text content. Add a new text article to the Ada knowledge base to immediately improve AI bot responses

get_end_user

Requires the End User ID. Retrieve profile information and custom metavariables for a specific Ada end user

list_articles

Retrieve the catalog of help articles used by the Ada AI agent to answer customer queries

list_conversations

Retrieve active and past customer support conversations handled by the Ada bot

Example Prompts for Ada in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Ada immediately.

"Show me the last 5 conversations handled by Ada."

Troubleshooting Ada MCP Server with Google ADK

Common issues when connecting Ada to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Ada + Google ADK FAQ

Common questions about integrating Ada MCP Server with Google ADK.

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.