Mnemonic MCP Server for Google ADK 12 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Mnemonic as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="mnemonic_agent",
instruction=(
"You help users interact with Mnemonic "
"using 12 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 Mnemonic MCP Server
Connect your Mnemonic account to your AI agent and unlock deep insights into the NFT ecosystem and Web3 data through natural conversation.
Google ADK natively supports Mnemonic as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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
- Portfolio Tracking — List all NFTs owned by any wallet address and view their complete historical activity.
- Collection Analytics — Get real-time stats including floor price, volume, market cap, and ownership distribution.
- Market Pricing — Access real-time and historical pricing data for tokens across major marketplaces.
- Transfer Monitoring — Query historical transfer events for specific tokens or entire collections with advanced filters.
- Token Inspection — Retrieve complete metadata, properties, and current owners for any specific NFT.
- Smart Contract Data — Fetch detailed technical metadata for blockchain smart contracts and collections.
The Mnemonic MCP Server exposes 12 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 Mnemonic to Google ADK via MCP
Follow these steps to integrate the Mnemonic 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 12 tools from Mnemonic via MCP
Why Use Google ADK with the Mnemonic MCP Server
Google ADK provides unique advantages when paired with Mnemonic 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 Mnemonic
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 Mnemonic tools with BigQuery, Vertex AI, and Cloud Functions
Mnemonic + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Mnemonic MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Mnemonic and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Mnemonic tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Mnemonic regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mnemonic
Mnemonic MCP Tools for Google ADK (12)
These 12 tools become available when you connect Mnemonic to Google ADK via MCP:
get_collection_details
Get NFT collection info
get_collection_distribution
Get ownership distribution
get_collection_stats
Get collection statistics
get_contract_metadata
Get smart contract metadata
get_nft_details
Get detailed NFT metadata
get_nft_owners
Get owners of an NFT
get_nft_prices
Get NFT market pricing data
get_wallet_history
Get wallet transaction history
get_wallet_nfts
Get all NFTs owned by a wallet
list_collection_tokens
List tokens in a collection
list_transfers
Query NFT transfer events
search_collections
Search for NFT collections
Example Prompts for Mnemonic in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Mnemonic immediately.
"List all NFTs owned by the wallet 0x123..."
"Search for NFT collections named 'Cool Cats'."
"What is the ownership distribution for the Azuki collection?"
Troubleshooting Mnemonic MCP Server with Google ADK
Common issues when connecting Mnemonic to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMnemonic + Google ADK FAQ
Common questions about integrating Mnemonic MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Mnemonic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mnemonic to Google ADK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
