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mem0 Memory System

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@pinkpixel/mem0-mcp MCP Server āœØ

A Model Context Protocol (MCP) server that integrates with Mem0.ai to provide persistent memory capabilities for LLMs. It allows AI agents to store and retrieve information across sessions.

This server uses the mem0ai Node.js SDK for its core functionality.

Features šŸ§ 

Tools

  • add_memory: Stores a piece of text content as a memory associated with a specific userId.

    • Required: content (string), userId (string)

    • Optional: sessionId (string), agentId (string), appId (string), metadata (object)

    • Advanced (Cloud API): includes (string), excludes (string), infer (boolean), outputFormat (string), customCategories (object), customInstructions (string), immutable (boolean), expirationDate (string)

    • Stores the provided text, enabling recall in future interactions.

  • search_memory: Searches stored memories based on a natural language query for a specific userId.

    • Required: query (string), userId (string)

    • Optional: sessionId (string), agentId (string), appId (string), filters (object), threshold (number)

    • Advanced (Cloud API): topK (number), fields (array), rerank (boolean), keywordSearch (boolean), filterMemories (boolean)

    • Retrieves relevant memories based on semantic similarity.

  • delete_memory: Deletes a specific memory from storage by its ID.

    • Required: memoryId (string), userId (string)

    • Optional: agentId (string), appId (string)

    • Permanently removes the specified memory.

Related MCP server: Just Prompt

Prerequisites šŸ”‘

This server supports three storage modes:

  1. Cloud Storage Mode ā˜ļø (Recommended for production)

    • Requires a Mem0 API key (provided as MEM0_API_KEY environment variable)

    • Memories are persistently stored on Mem0's cloud servers

    • No local database needed

    • Full feature support with advanced filtering and search

  2. Supabase Storage Mode šŸ—„ļø (Recommended for self-hosting)

    • Requires Supabase credentials (SUPABASE_URL and SUPABASE_KEY environment variables)

    • Requires OpenAI API key (OPENAI_API_KEY environment variable) for embeddings

    • Memories are persistently stored in your Supabase database

    • Free tier available, self-hostable option

    • Requires initial database setup (SQL migrations provided below)

  3. Local Storage Mode šŸ’¾ (Development/testing only)

    • Requires an OpenAI API key (provided as OPENAI_API_KEY environment variable)

    • Memories are stored in an in-memory vector database (non-persistent by default)

    • Data is lost when the server restarts unless configured for persistent storage

Installation & Configuration āš™ļø

You can run this server in three main ways:

Installing via Smithery

To install Mem0 Memory Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @pinkpixel-dev/mem0-mcp-server --client claude

1. Global Installation (Recommended for frequent use)

Install the package globally and use the mem0-mcp command:

npm install -g @pinkpixel/mem0-mcp

After global installation, you can run the server directly:

mem0-mcp

Configure your MCP client to use the global command:

Cloud Storage Configuration (Global Install)

{ "mcpServers": { "mem0-mcp": { "command": "mem0-mcp", "args": [], "env": { "MEM0_API_KEY": "YOUR_MEM0_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "DEFAULT_AGENT_ID": "your-agent-id", "DEFAULT_APP_ID": "your-app-id" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Supabase Storage Configuration (Global Install)

{ "mcpServers": { "mem0-mcp": { "command": "mem0-mcp", "args": [], "env": { "SUPABASE_URL": "YOUR_SUPABASE_PROJECT_URL", "SUPABASE_KEY": "YOUR_SUPABASE_ANON_KEY", "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "DEFAULT_AGENT_ID": "your-agent-id", "DEFAULT_APP_ID": "your-app-id" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Local Storage Configuration (Global Install)

{ "mcpServers": { "mem0-mcp": { "command": "mem0-mcp", "args": [], "env": { "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

2. Using npx (Recommended for occasional use)

Configure your MCP client (e.g., Claude Desktop, Cursor, Cline, Roo Code, etc.) to run the server using npx:

Cloud Storage Configuration (npx)

{ "mcpServers": { "mem0-mcp": { "command": "npx", "args": [ "-y", "@pinkpixel/mem0-mcp" ], "env": { "MEM0_API_KEY": "YOUR_MEM0_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "DEFAULT_AGENT_ID": "your-agent-id", "DEFAULT_APP_ID": "your-app-id" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Supabase Storage Configuration (npx)

{ "mcpServers": { "mem0-mcp": { "command": "npx", "args": [ "-y", "@pinkpixel/mem0-mcp" ], "env": { "SUPABASE_URL": "YOUR_SUPABASE_PROJECT_URL", "SUPABASE_KEY": "YOUR_SUPABASE_ANON_KEY", "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "DEFAULT_AGENT_ID": "your-agent-id", "DEFAULT_APP_ID": "your-app-id" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Local Storage Configuration (npx)

{ "mcpServers": { "mem0-mcp": { "command": "npx", "args": [ "-y", "@pinkpixel/mem0-mcp" ], "env": { "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

3. Running from Cloned Repository

Note: This method requires you to git clone the repository first.

Clone the repository, install dependencies, and build the server:

git clone https://github.com/pinkpixel-dev/mem0-mcp cd mem0-mcp npm install npm run build

Then, configure your MCP client to run the built script directly using node:

Cloud Storage Configuration (Cloned Repository)

{ "mcpServers": { "mem0-mcp": { "command": "node", "args": [ "/absolute/path/to/mem0-mcp/build/index.js" ], "env": { "MEM0_API_KEY": "YOUR_MEM0_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "DEFAULT_AGENT_ID": "your-agent-id", "DEFAULT_APP_ID": "your-app-id" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Supabase Storage Configuration (Cloned Repository)

{ "mcpServers": { "mem0-mcp": { "command": "node", "args": [ "/absolute/path/to/mem0-mcp/build/index.js" ], "env": { "SUPABASE_URL": "YOUR_SUPABASE_PROJECT_URL", "SUPABASE_KEY": "YOUR_SUPABASE_ANON_KEY", "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "DEFAULT_AGENT_ID": "your-agent-id", "DEFAULT_APP_ID": "your-app-id" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Local Storage Configuration (Cloned Repository)

{ "mcpServers": { "mem0-mcp": { "command": "node", "args": [ "/absolute/path/to/mem0-mcp/build/index.js" ], "env": { "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123" }, "disabled": false, "alwaysAllow": [ "add_memory", "search_memory", "delete_memory" ] } } }

Important Notes:

  1. Replace /absolute/path/to/mem0-mcp/ with the actual absolute path to your cloned repository

  2. Use the build/index.js file, not the src/index.ts file

  3. The MCP server requires clean stdout for protocol communication - any libraries or code that writes to stdout may interfere with the protocol

Supabase Setup šŸ—„ļø

If you choose to use Supabase storage mode, you'll need to set up your Supabase database with the required table.

1. Create a Supabase Project

  1. Go to supabase.com and create a new project

  2. Note your project URL and anon key from the project settings

2. Run SQL Migrations

Run these SQL commands in your Supabase SQL Editor:

-- Enable the vector extension create extension if not exists vector; -- Create the memories table create table if not exists memories ( id text primary key, embedding vector(1536), metadata jsonb, created_at timestamp with time zone default timezone('utc', now()), updated_at timestamp with time zone default timezone('utc', now()) ); -- Create the vector similarity search function create or replace function match_vectors( query_embedding vector(1536), match_count int, filter jsonb default '{}'::jsonb ) returns table ( id text, similarity float, metadata jsonb ) language plpgsql as $$ begin return query select t.id::text, 1 - (t.embedding <=> query_embedding) as similarity, t.metadata from memories t where case when filter::text = '{}'::text then true else t.metadata @> filter end order by t.embedding <=> query_embedding limit match_count; end; $$; -- Create the memory_history table for history tracking create table if not exists memory_history ( id text primary key, memory_id text not null, previous_value text, new_value text, action text not null, created_at timestamp with time zone default timezone('utc', now()), updated_at timestamp with time zone, is_deleted integer default 0 );

3. Set Environment Variables

Add these to your MCP configuration:

  • SUPABASE_URL: Your Supabase project URL (e.g., https://your-project.supabase.co)

  • SUPABASE_KEY: Your Supabase anon key

  • OPENAI_API_KEY: Your OpenAI API key (for embeddings)

Benefits of Supabase Mode

āœ… Persistent Storage - Data survives server restarts āœ… Free Tier Available - Generous free tier for development āœ… Self-Hostable - Can run your own Supabase instance āœ… Scalable - Grows with your needs āœ… SQL Access - Direct database access for advanced queries āœ… Real-time Features - Built-in real-time subscriptions

Parameter Configuration šŸŽÆ

Understanding Mem0 Parameters

The server uses four key parameters to organize and scope memories:

  1. userId - Identifies the user (required)

  2. agentId - Identifies the LLM/agent making the tool call (optional)

  3. appId - Identifies the user's project/application - this controls project scope! (optional)

  4. sessionId - Identifies the conversation session (maps to run_id in Mem0) (optional)

Environment Variable Fallbacks šŸ”„

The MCP server supports environment variable fallbacks for user identification and project settings:

  • DEFAULT_USER_ID: Fallback user ID when not provided in tool calls

  • DEFAULT_AGENT_ID: Fallback agent ID for identifying the LLM/agent

  • DEFAULT_APP_ID: Fallback app ID for project scoping

Priority Order (Important!)

  1. Tool Parameters (highest priority) - Values provided by the LLM in tool calls

  2. Environment Variables (fallback) - Values from your MCP configuration

Example Behavior:

// Your MCP config "env": { "DEFAULT_USER_ID": "john-doe", "DEFAULT_AGENT_ID": "my-assistant", "DEFAULT_APP_ID": "my-project" }

If LLM provides parameters:

{ "tool": "add_memory", "arguments": { "content": "Remember this", "userId": "session-123", // ā† Overrides DEFAULT_USER_ID "agentId": "different-agent", // ā† Overrides DEFAULT_AGENT_ID "appId": "special-project" // ā† Overrides DEFAULT_APP_ID // sessionId omitted // ā† No fallback, will be undefined } }

Result: Uses session-123, different-agent, and special-project

If LLM omits parameters:

{ "tool": "add_memory", "arguments": { "content": "Remember this" // All IDs omitted - uses environment variables } }

Result: Uses john-doe, my-assistant, and my-project

Controlling LLM Behavior

To ensure your environment variables are used, instruct your LLM:

  • "Use the default user ID configured in the environment"

  • "Don't specify userId, agentId, or appId parameters"

  • "Let the server use the configured defaults"

System Prompt Recommendation

For best results, include instructions in your system prompt like:

When creating memories, use: - agentId: "my-assistant" - appId: "my-project" - sessionId: "current-conversation-id"

Example configuration using DEFAULT_USER_ID:

{ "mcpServers": { "mem0-mcp": { "command": "npx", "args": [ "-y", "@pinkpixel/mem0-mcp" ], "env": { "MEM0_API_KEY": "YOUR_MEM0_API_KEY_HERE", "DEFAULT_USER_ID": "user123", "ORG_ID": "your-org-id", "PROJECT_ID": "your-project-id" } } } }

Or when running directly with node:

git clone https://github.com/pinkpixel-dev/mem0-mcp cd mem0-mcp npm install npm run build
{ "mcpServers": { "mem0-mcp": { "command": "node", "args": [ "path/to/mem0-mcp/build/index.js" ], "env": { "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE", "DEFAULT_USER_ID": "user123" } } } }

Storage Mode Comparison šŸ”„

Cloud Storage (Mem0 API) ā˜ļø

  • Persistent by default - Your memories remain available across sessions and server restarts

  • No local database required - All data is stored on Mem0's servers

  • Higher retrieval quality - Uses Mem0's optimized search algorithms

  • Additional fields - Supports agent_id and threshold parameters

  • Fully managed - No setup or maintenance required

  • Requires - A Mem0 API key

Supabase Storage šŸ—„ļø

  • Persistent storage - Data is stored in your Supabase PostgreSQL database

  • Free tier available - Generous free tier for development and small projects

  • Self-hostable - Can run your own Supabase instance for complete control

  • SQL access - Direct database access for advanced queries and analytics

  • Scalable - Grows with your needs, from free tier to enterprise

  • Vector search - Uses pgvector extension for efficient similarity search

  • Real-time features - Built-in real-time subscriptions and webhooks

  • Requires - Supabase project setup and OpenAI API key for embeddings

Local Storage (OpenAI API) šŸ’¾

  • In-memory by default - Data is stored only in RAM and is not persistent long-term. While some caching may occur, you should not rely on this for permanent storage.

  • Data loss risk - Memory data will be lost on server restart, system reboot, or if the process is terminated

  • Recommended for - Development, testing, or temporary use only

  • For persistent storage - Use the Cloud Storage or Supabase options if you need reliable long-term memory

  • Uses OpenAI embeddings - For vector search functionality

  • Self-contained - All data stays on your machine

  • Requires - An OpenAI API key

Development šŸ’»

Clone the repository and install dependencies:

git clone https://github.com/pinkpixel-dev/mem0-mcp cd mem0-mcp npm install

Build the server:

npm run build

For development with auto-rebuild on file changes:

npm run watch

Debugging šŸž

Since MCP servers communicate over stdio, debugging can be challenging. Here are some approaches:

  1. Use the MCP Inspector: This tool can monitor the MCP protocol communication:

npm run inspector

  1. Console Logging: When adding console logs, always use console.error() instead of console.log() to avoid interfering with the MCP protocol

  2. Environment Files: Use a .env file for local development to simplify setting API keys and other configuration options

Technical Implementation Notes šŸ”§

Advanced Mem0 API Parameters

When using the Cloud Storage mode with the Mem0 API, you can leverage additional parameters for more sophisticated memory management. While not explicitly exposed in the tool schema, these can be included in the metadata object when adding memories:

Advanced Parameters for add_memory:

Parameter

Type

Description

metadata

object

Store additional context about the memory (e.g., location, time, identifiers). This can be used for filtering during retrieval.

includes

string

Specific preferences to include in the memory.

excludes

string

Specific preferences to exclude from the memory.

infer

boolean

Whether to infer memories or directly store messages (default: true).

output_format

string

Format version, either v1.0 (default, deprecated) or v1.1 (recommended).

custom_categories

object

List of categories with names and descriptions.

custom_instructions

string

Project-specific guidelines for handling and organizing memories.

immutable

boolean

Whether the memory is immutable (default: false).

expiration_date

string

When the memory will expire (format: YYYY-MM-DD).

org_id

string

Organization ID associated with this memory.

project_id

string

Project ID associated with this memory.

version

string

Memory version (v1 is deprecated, v2 recommended for new applications).

To use these parameters with the MCP server, include them in your metadata object when calling the add_memory tool. For example:

{ "content": "Important information to remember", "userId": "user123", "sessionId": "project-abc", "metadata": { "includes": "important context", "excludes": "sensitive data", "immutable": true, "expiration_date": "2025-12-31", "custom_instructions": "Prioritize this memory for financial questions", "version": "v2" } }

Advanced Parameters for search_memory:

The Mem0 v2 search API offers powerful filtering capabilities that can be utilized through the filters parameter:

Parameter

Type

Description

filters

object

Complex filters with logical operators and comparison conditions

top_k

integer

Number of top results to return (default: 10)

fields

string[]

Specific fields to include in the response

rerank

boolean

Whether to rerank the memories (default: false)

keyword_search

boolean

Whether to search based on keywords (default: false)

filter_memories

boolean

Whether to filter the memories (default: false)

threshold

number

Minimum similarity threshold for results (default: 0.3)

org_id

string

Organization ID for filtering memories

project_id

string

Project ID for filtering memories

The filters parameter supports complex logical operations (AND, OR) and various comparison operators:

Operator

Description

in

Matches any of the values specified

gte

Greater than or equal to

lte

Less than or equal to

gt

Greater than

lt

Less than

ne

Not equal to

icontains

Case-insensitive containment check

Example of using complex filters with the search_memory tool:

{ "query": "What are Alice's hobbies?", "userId": "user123", "filters": { "AND": [ { "user_id": "alice" }, { "agent_id": {"in": ["travel-agent", "sports-agent"]} } ] }, "threshold": 0.5, "top_k": 5 }

This would search for memories related to Alice's hobbies where the user_id is "alice" AND the agent_id is either "travel-agent" OR "sports-agent", returning at most 5 results with a similarity score of at least 0.5.

For more detailed information on these parameters, refer to the Mem0 API documentation.

SafeLogger

The MCP server implements a SafeLogger class that selectively redirects console.log calls from the mem0ai library to stderr without disrupting MCP protocol:

  • Intercepts console.log calls and examines stack traces to determine source

  • Only redirects log calls from mem0ai library or our own code

  • Preserves clean stdout for MCP protocol communication

  • Automatically cleans up resources on process exit

This allows proper functioning within MCP clients while maintaining useful debug information.

Environment Variables

The server recognizes several environment variables that control its behavior:

  • MEM0_API_KEY: API key for cloud storage mode

  • OPENAI_API_KEY: API key for local storage mode (embeddings)

  • DEFAULT_USER_ID: Default user ID for memory operations

  • DEFAULT_AGENT_ID: Default agent ID for identifying the LLM/agent

  • DEFAULT_APP_ID: Default app ID for project scoping

Important Notes:

  • Session IDs are passed as tool parameters (e.g., "sessionId": "my-session"), not environment variables

  • When using the tools, parameters provided directly (e.g., agentId, appId, sessionId) take precedence over environment variables, giving you maximum flexibility

  • org_id and project_id are set automatically by Mem0 and cannot be changed by users - use appId for project scoping instead

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