Can I train my bot on a new PDF file through the agent?

You can trigger the training process using the `trigger_bot_training` tool once you have added files via the ChatFly dashboard. Future updates will support direct file uploads.

How do I see the history of a specific conversation?

Use the `get_conversation_history` tool with the unique conversation ID. Your agent will fetch the full transcript of messages between the user and the bot.

Where do I find my ChatFly API Key?

Log in to your ChatFly dashboard and navigate to the 'API' or 'Integrations' section. You can generate and copy your API key from there.

CHATFLY MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: CHATFLY
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add CHATFLY 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="chatfly_agent",
    instruction=(
        "You help users interact with CHATFLY "
        "using 8 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 CHATFLY MCP Server

Connect your CHATFLY account to any AI agent and take full control of your custom chatbot workflows through natural conversation. Train and monitor your own AI agents using your business data.

Google ADK natively supports CHATFLY as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

Chatbot Oversight — List and retrieve details for all custom AI chatbots in your account natively
Knowledge Logistics — List all uploaded documents and data sources used for bot training flawlessly
Training Automation — Trigger the training process for your chatbots to ingest new data securely
Conversation Intelligence — Access recent chat conversations and full message history flawlessly
Live Messaging — Send messages to your chatbots and receive AI-generated responses in real-time
System Monitoring — Retrieve core account information and monitor your AI usage quotas directly within your workspace

The CHATFLY MCP Server exposes 8 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 CHATFLY to Google ADK via MCP

Follow these steps to integrate the CHATFLY 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 8 tools from CHATFLY via MCP

Why Use Google ADK with the CHATFLY MCP Server

Google ADK provides unique advantages when paired with CHATFLY 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 CHATFLY

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 CHATFLY tools with BigQuery, Vertex AI, and Cloud Functions

CHATFLY + Google ADK Use Cases

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

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

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

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

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

CHATFLY MCP Tools for Google ADK (8)

These 8 tools become available when you connect CHATFLY to Google ADK via MCP:

get_chatbot_details

Get detailed information for a specific chatbot

get_chatfly_account_info

Retrieve core account and quota information

get_conversation_history

Retrieve the message history for a specific conversation

list_chatfly_bots

List all AI chatbots in your account

list_fly_conversations

List recent chat conversations

list_uploaded_documents

List all files uploaded to the knowledge base

send_bot_message

Send a message to a chatbot and receive a response

trigger_bot_training

Trigger the training process for a chatbot

Example Prompts for CHATFLY in Google ADK

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

"List all my active chatbots in CHATFLY."

"Show me the last 5 conversations for bot 'Support Assistant'."

"Send a test message to bot ID 123: 'How do I reset my password?'"

Troubleshooting CHATFLY MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

CHATFLY + Google ADK FAQ

Common questions about integrating CHATFLY 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.