Mem0 MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mem0 through the 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="Mem0 Assistant",
instructions=(
"You help users interact with Mem0. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mem0"
)
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 Mem0 MCP Server
Connect your AI agent to Mem0 — the industry-standard memory layer that enables agents to remember, learn, and personalize across conversations.
The OpenAI Agents SDK auto-discovers all 4 tools from Mem0 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Mem0, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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- Delete Memories — Remove outdated or incorrect memories to keep the knowledge base clean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 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 Mem0 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Mem0 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 4 tools from Mem0
Why Use OpenAI Agents SDK with the Mem0 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mem0 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
Mem0 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mem0 MCP Server delivers measurable value.
Automated workflows: build agents that query Mem0, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Mem0, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mem0 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mem0 to resolve tickets, look up records, and update statuses without human intervention
Mem0 MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect Mem0 to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Mem0 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mem0 + OpenAI Agents SDK FAQ
Common questions about integrating Mem0 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 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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.