Mem0 MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mem0 through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"mem0": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Mem0 Agent",
instructions:
"You help users interact with Mem0 " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Mem0?"
);
console.log(result.text);
}
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 Mem0 MCP Server
Connect your AI agent to Mem0 — the industry-standard memory layer that enables agents to remember, learn, and personalize across conversations.
Mastra's agent abstraction provides a clean separation between LLM logic and Mem0 tool infrastructure. Connect 4 tools through the 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
- Add Memories — Store facts, preferences, and context from conversations. Mem0 AI automatically extracts key information and structures it as searchable memories
- Semantic Search — Find relevant memories using natural language queries. Ask 'What does the user prefer?' and get ranked results by relevance
- List Memories — View all stored memories for a user to build comprehensive profiles and understand accumulated context
- Delete Memories — Remove outdated or incorrect memories to keep the knowledge base clean
The Mem0 MCP Server exposes 4 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 Mem0 to Mastra AI via MCP
Follow these steps to integrate the Mem0 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 4 tools from Mem0 via MCP
Why Use Mastra AI with the Mem0 MCP Server
Mastra AI provides unique advantages when paired with Mem0 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Mem0 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Mem0 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Mem0 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Mem0 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Mem0, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Mem0 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Mem0 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Mem0 tools alongside other MCP servers
Mem0 MCP Tools for Mastra AI (4)
These 4 tools become available when you connect Mem0 to Mastra AI via MCP:
add_memory
The system automatically extracts structured facts from the provided content and stores them as searchable, persistent memories associated with the given user ID. Store a new memory for a user. The AI extracts key facts and preferences from the content and stores them as persistent memories
delete_memory
Use with caution — this action cannot be undone. Delete a specific memory by its ID
get_memories
Useful for reviewing what the agent knows about a user or for building a user profile. List all stored memories for a specific user
search_memories
Returns results ranked by relevance score, enabling the agent to recall past preferences, facts, and context. Semantically search stored memories for a specific user. Returns the most relevant memories matching your query
Example Prompts for Mem0 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Mem0 immediately.
"Remember that I prefer dark mode, use VS Code, and my favorite language is TypeScript."
"What do you remember about my coding preferences?"
"Show me all the memories you have stored for my user profile."
Troubleshooting Mem0 MCP Server with Mastra AI
Common issues when connecting Mem0 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMem0 + Mastra AI FAQ
Common questions about integrating Mem0 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Mem0 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 Mem0 to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.