Mnemonic MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mnemonic through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mnemonic Assistant",
instructions=(
"You help users interact with Mnemonic. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mnemonic"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Mnemonic through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mnemonic, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Mnemonic MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Mnemonic
Why Use OpenAI Agents SDK with the Mnemonic MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mnemonic through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mnemonic + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mnemonic MCP Server delivers measurable value.
Automated workflows: build agents that query Mnemonic, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mnemonic, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mnemonic tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mnemonic to resolve tickets, look up records, and update statuses without human intervention
Mnemonic MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Mnemonic to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Mnemonic to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mnemonic + OpenAI Agents SDK FAQ
Common questions about integrating Mnemonic MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.