Yes! Mem0 offers a free Hobby tier with 10,000 memories and 1,000 search calls per month — no credit card required. Paid plans start at $19/month for higher limits. An open-source version (Apache 2.0) is also available for self-hosting.

How does Mem0 extract and store memories?

When you send content to Mem0, its AI automatically extracts key facts and structured information. For example, if you send 'I prefer Python over JavaScript and work best in the morning', Mem0 creates two separate memories: one about language preference and one about work schedule. These are stored in a hybrid architecture (key-value + vector + graph) for fast semantic retrieval.

Can I organize memories by user or agent?

Yes! Every memory operation supports scoping by user_id, agent_id, or run_id. This means you can maintain separate memory banks for different users, different agents, or even different conversation runs — keeping context perfectly isolated.

Mem0 MCP Server for Google ADK 4 tools — connect in under 2 minutes

Name: Mem0
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Mem0 as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="mem0_agent",
    instruction=(
        "You help users interact with Mem0 "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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* 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.

Google ADK natively supports Mem0 as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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

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 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 Mem0 to Google ADK via MCP

Follow these steps to integrate the Mem0 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 4 tools from Mem0 via MCP

Why Use Google ADK with the Mem0 MCP Server

Google ADK provides unique advantages when paired with Mem0 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 Mem0

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 Mem0 tools with BigQuery, Vertex AI, and Cloud Functions

Mem0 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Mem0 MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Mem0 and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Mem0 tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Mem0 regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mem0

Mem0 MCP Tools for Google ADK (4)

These 4 tools become available when you connect Mem0 to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Mem0 to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Mem0 + Google ADK FAQ

Common questions about integrating Mem0 MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.