Chaindesk MCP Server for Google ADKGive Google ADK instant access to 11 tools to Create Agent, Delete Agent, Get Agent, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Chaindesk 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 Chaindesk app connector for Google ADK is a standout in the Knowledge Management category — giving your AI agent 11 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="chaindesk_agent",
instruction=(
"You help users interact with Chaindesk "
"using 11 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 Chaindesk MCP Server
Connect your Chaindesk.ai account to any AI agent and take full control of your custom LLM orchestration and automated knowledge retrieval workflows through natural conversation.
Google ADK natively supports Chaindesk as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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 Orchestration — Create and manage multiple high-fidelity AI agent instances programmatically, including configuring system prompts and model selection
- Knowledge Graph Ingestion — Programmatically upsert data sources (website URLs, text, documents) into connected datastores to maintain a real-time knowledge base
- Deep Semantic Querying — Interact with your custom agents to retrieve context-aware AI responses based on your proprietary data and high-fidelity grounding
- Conversation Intelligence — Access complete session histories and message threads to provide perfectly coordinated context for support and research tasks
- Datastore Monitoring — Access and monitor your directory of knowledge collections (datastores) and their status directly through your agent for instant reporting
The Chaindesk MCP Server exposes 11 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 11 Chaindesk tools available for Google ADK
When Google ADK connects to Chaindesk through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-training, custom-chatbots, knowledge-retrieval, 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.
Provide name, datastoreId, and system prompt. Create a new AI agent
Delete an agent
Get details of a specific agent
Get details of a datastore
Get messages from a conversation
List all AI agents
Can be filtered by agentId. List chat conversations
List all datastores
Send a message to an agent
Update an existing agent
Add or update a data source
Connect Chaindesk to Google ADK via MCP
Follow these steps to wire Chaindesk 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 Chaindesk MCP Server
Google ADK provides unique advantages when paired with Chaindesk 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 Chaindesk
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 Chaindesk tools with BigQuery, Vertex AI, and Cloud Functions
Chaindesk + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Chaindesk MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Chaindesk and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Chaindesk tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Chaindesk regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Chaindesk
Example Prompts for Chaindesk in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Chaindesk immediately.
"List all my available AI agents in Chaindesk."
"Ask my 'Support Bot' (ID: 'agent_1'): 'How do I reset my password?'."
"Add 'https://vinkius.com/faq' to datastore 'ds_123'."
Troubleshooting Chaindesk MCP Server with Google ADK
Common issues when connecting Chaindesk to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkChaindesk + Google ADK FAQ
Common questions about integrating Chaindesk MCP Server with Google ADK.