Does this work with self-hosted Dify?

Yes, simply replace the Base URL credential with your own domain (e.g. `https://dify.mycompany.com/v1`).

Dify.AI SDK MCP Server for Google ADK 14 tools — connect in under 2 minutes

Name: Dify.AI SDK
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 14 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Dify.AI SDK 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="difyai_sdk_agent",
    instruction=(
        "You help users interact with Dify.AI SDK "
        "using 14 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 Dify.AI SDK MCP Server

Connect your Vinkius agents directly to Dify.AI, the leading open-source LLM app development platform. With 10 exposed tools, you can execute complex Dify workflows, send messages to specialized chatbots, retrieve session histories, and submit model feedback for RLHF.

Google ADK natively supports Dify.AI SDK as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 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

Agent Chat — Send messages to published Dify chatbots and track conversations
Workflows — Trigger background Dify workflows with dynamic JSON parameters
Session Management — Rename, fetch, or delete conversation histories
Audit & Feedback — Programmatically submit 'like/dislike' ratings to improve model tuning

The Dify.AI SDK MCP Server exposes 14 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 Dify.AI SDK to Google ADK via MCP

Follow these steps to integrate the Dify.AI SDK 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 14 tools from Dify.AI SDK via MCP

Why Use Google ADK with the Dify.AI SDK MCP Server

Google ADK provides unique advantages when paired with Dify.AI SDK 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 Dify.AI SDK

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 Dify.AI SDK tools with BigQuery, Vertex AI, and Cloud Functions

Dify.AI SDK + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Dify.AI SDK MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Dify.AI SDK and cross-reference results with internal databases for comprehensive analysis

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

Automated compliance checks: schedule ADK agents to query Dify.AI SDK regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Dify.AI SDK

Dify.AI SDK MCP Tools for Google ADK (14)

These 14 tools become available when you connect Dify.AI SDK to Google ADK via MCP:

chat_message

Send a chat message to a Dify Application

delete_conversation

Delete a Dify conversation

get_app_meta

Get application meta data configuration

get_conversation_messages

Get historical messages of a specific Dify conversation

get_conversations

List recent conversations for a user

get_suggested_questions

Use after receiving a chat response. Get next suggested questions for a message

get_workflow_info

Get basic App information

get_workflow_parameters

Get required application parameters

rename_conversation

Rename a Dify conversation

run_workflow

Execute a Dify Workflow application

send_completion

Returns the full generated text. Send a text completion request to a Dify completion app

stop_chat_generation

Only supported for streaming mode responses. Stop an in-progress chat message generation

submit_feedback

Submit feedback (like/dislike) for a message

upload_file

Upload a file via URL for multimodal understanding

Example Prompts for Dify.AI SDK in Google ADK

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

"Check my recent Dify conversations and tell me the name of the last one."

Troubleshooting Dify.AI SDK MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Dify.AI SDK + Google ADK FAQ

Common questions about integrating Dify.AI SDK 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.