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Mem0 MCP Server

Name: Mem0
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR ToolsFree for Subscribers

Give your AI agent persistent memory — store, search, and recall facts, preferences, and context across sessions using the leading agent memory platform.

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What is the Mem0 MCP Server?

The Mem0 MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Mem0 via 4 tools. Give your AI agent persistent memory — store, search, and recall facts, preferences, and context across sessions using the leading agent memory platform. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (4)

add_memorydelete_memoryget_memoriessearch_memories

Tools for your AI Agents to operate Mem0

Ask your AI agent "Remember that I prefer dark mode, use VS Code, and my favorite language is TypeScript." and get the answer without opening a single dashboard. With 4 tools connected to real Mem0 data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Mem0 MCP Server capabilities

4 tools

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

What the Mem0 MCP Server unlocks

Connect your AI agent to Mem0 — the industry-standard memory layer that enables agents to remember, learn, and personalize across conversations.

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

How it works

1. Subscribe to this server
2. Enter your Mem0 API key (free tier available — 10K memories/month)
3. Your agent can now remember everything across sessions

Who is this for?

AI Agent Developers — build agents that remember user preferences, past decisions, and accumulated context without re-asking
Chatbot Builders — create conversational experiences that feel truly personal by recalling past interactions
SaaS Teams — add persistent memory to any AI feature so users feel understood and valued

Frequently asked questions about the Mem0 MCP Server

Is Mem0 free to use?

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.