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Mnemonic MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mnemonic through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "mnemonic": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Mnemonic Agent",
    instructions:
      "You help users interact with Mnemonic " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Mnemonic?"
  );
  console.log(result.text);
}

main();
Mnemonic
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Mnemonic tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Mnemonic MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Mnemonic via MCP

Why Use Mastra AI with the Mnemonic MCP Server

Mastra AI provides unique advantages when paired with Mnemonic through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mnemonic without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Mnemonic tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Mnemonic + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Mnemonic MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Mnemonic, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Mnemonic as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Mnemonic on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Mnemonic tools alongside other MCP servers

Mnemonic MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Mnemonic to Mastra AI via MCP:

01

get_collection_details

Get NFT collection info

02

get_collection_distribution

Get ownership distribution

03

get_collection_stats

Get collection statistics

04

get_contract_metadata

Get smart contract metadata

05

get_nft_details

Get detailed NFT metadata

06

get_nft_owners

Get owners of an NFT

07

get_nft_prices

Get NFT market pricing data

08

get_wallet_history

Get wallet transaction history

09

get_wallet_nfts

Get all NFTs owned by a wallet

10

list_collection_tokens

List tokens in a collection

11

list_transfers

Query NFT transfer events

12

search_collections

Search for NFT collections

Example Prompts for Mnemonic in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Mnemonic immediately.

01

"List all NFTs owned by the wallet 0x123..."

02

"Search for NFT collections named 'Cool Cats'."

03

"What is the ownership distribution for the Azuki collection?"

Troubleshooting Mnemonic MCP Server with Mastra AI

Common issues when connecting Mnemonic to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Mnemonic + Mastra AI FAQ

Common questions about integrating Mnemonic MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Mnemonic to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.