What is an MCP memory server?

An MCP (Model Context Protocol) memory server is a service that exposes your AI conversation history as tools that any MCP-compatible client can use. It lets AI assistants like Claude Desktop, Cursor, and ChatGPT search, retrieve, and add to your conversation memory through a standardized protocol.

How many AI clients support MCP?

As of 2026, over 113 AI clients support the Model Context Protocol, including Claude Desktop, Cursor, ChatGPT (via connectors), Windsurf, Cline, and many more. The MCP ecosystem is growing rapidly with new client integrations added regularly.

Is the AI Memory MCP server free?

Yes, the AI Memory MCP server is free to use. You just need to upload your conversations to aimemory.pro first (also free), and then configure your MCP client to connect to the server endpoint. There are no API keys or subscriptions required.

What tools does the AI Memory MCP server provide?

The server provides 6 tools: search_memory (full-text search), get_context (relevant snippets for a topic), list_memories (browse recent conversations), get_conversation (retrieve full conversation by ID), add_memory (add new notes), and delete_memory (remove conversations or all data).

How do I set up MCP with Claude Desktop?

Add the AI Memory MCP server to your Claude Desktop configuration file (claude_desktop_config.json). Add a new entry in the mcpServers object with the URL "https://aimemory.pro/api/mcp". Restart Claude Desktop and the memory tools will appear automatically.

Is my data safe with an MCP memory server?

The AI Memory MCP server uses session-based isolation — your data is only accessible with your session cookie. The server runs on HTTPS with TLS encryption. Your conversations are stored in a SQLite database with WAL mode for data integrity. No authentication tokens are stored server-side.

MCP Memory Server: Connect Any AI to Your Conversation History

Imagine asking Claude Desktop about a debugging session you had with ChatGPT last week — and it actually finds it. That's what an MCP memory server does. Here's how to set it up in 5 minutes.

🔑 What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external data sources and tools. Think of it as USB-C for AI — one protocol, universal compatibility. Over 113 clients already support it.

Why You Need a Memory Server

Every AI platform has its own isolated memory (or none at all). This creates three problems:

Siloed knowledge: Your ChatGPT debugging sessions are invisible to Claude. Your Claude research is invisible to Cursor.
No cross-platform search: You remember having a conversation about OAuth2 implementation, but which AI was it with?
Context loss: When you switch AI tools, you lose all the context you've built up.

An MCP memory server solves this by making your conversation history available to any compatible AI client through a standardized protocol.

How It Works

1. Upload your conversations — Export from ChatGPT, Claude, or DeepSeek and upload to AI Memory.

2. MCP server exposes tools — Your conversation database becomes accessible via 6 standardized tools.

3. AI clients connect — Claude Desktop, Cursor, ChatGPT, and 110+ other clients can search your memory.

4. Ask anything — "What was that OAuth2 solution we discussed?" and your AI finds it instantly.

The 6 MCP Memory Tools

The AI Memory MCP server exposes these tools to any connected client:

🔍 search_memory

Full-text search across all your conversations. Supports FTS5 syntax for advanced queries (AND, OR, NOT, phrase matching).

Input: {query: string, platform?: string, limit?: number}

📝 get_context

Get relevant context snippets for a topic, optimized for providing AI assistants with conversation history. Token-budget aware.

Input: {topic: string, max_tokens?: number}

📋 list_memories

List recent conversations with optional platform filtering. Great for browsing your conversation history.

Input: {limit?: number, platform?: string}

💬 get_conversation

Retrieve a full conversation with all messages by ID. Includes role, content, and timestamps for each message.

Input: {conversation_id: string}

➕ add_memory

Add a new conversation or note to your memory store. Useful for AI assistants that want to save important context for later.

Input: {title: string, content: string, platform?: string}

🗑️ delete_memory

Delete a specific conversation by ID, or delete all session data with confirmation. Full data control.

Input: {conversation_id?: string, confirm?: boolean}

Setup Guide: Claude Desktop

Claude Desktop has native MCP support. Here's how to connect:

Step 1: Open config file

Find your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Step 2: Add MCP server

{ "mcpServers": { "ai-memory": { "url": "https://aimemory.pro/api/mcp" } } }

Step 3: Restart Claude Desktop

Quit and reopen Claude Desktop. The memory tools will appear automatically in the tools panel.

Setup Guide: Cursor

Cursor supports MCP for AI-assisted coding with memory context:

Step 1: Open Cursor settings

Go to Settings → Features → MCP Servers

Step 2: Add server

Add a new MCP server with URL:

https://aimemory.pro/api/mcp

Step 3: Use in chat

In Cursor Chat, the AI can now search your conversation history when answering questions. Ask: "Search my memory for OAuth2 implementation"

Use Cases

🐛 Debug Faster

"Search my memory for the PostgreSQL connection pooling issue we solved last month." — Claude finds the exact solution from your ChatGPT conversation.

📚 Research Synthesis

"What have I learned about React Server Components across all my AI conversations?" — Get a synthesized answer from ChatGPT, Claude, and DeepSeek discussions.

💻 Code Context

In Cursor: "Based on my previous conversations about this project, what authentication approach did we decide on?" — The AI recalls your architecture decisions.

📝 Knowledge Management

"Add this conversation to my memory with tag 'project-alpha'." — The AI saves important context for future reference.

Supported Clients

Client	MCP Support	Best For
Claude Desktop	Native	General AI assistant with memory
Cursor	Native	AI coding with project context
Windsurf	Native	AI coding with memory
Cline	Native	VS Code AI assistant
ChatGPT	Connector	Growing MCP support
113+ others	Various	See mcp.directory

Technical Details

Protocol: JSON-RPC 2.0 over HTTPS (Streamable HTTP Transport)
Endpoint: https://aimemory.pro/api/mcp
Database: SQLite with FTS5 full-text search and WAL mode
Authentication: Session cookie (aim_session) — no API keys needed
Version: MCP Protocol 2024-11-05, Server v1.1.0
Tools: 6 (search_memory, get_context, list_memories, get_conversation, add_memory, delete_memory)

Get Started

Setting up the MCP memory server takes less than 5 minutes:

Visit aimemory.pro and upload your AI conversations
Configure your MCP client with the server URL
Start asking your AI about your conversation history

The server is free, requires no API keys, and works with 113+ MCP-compatible clients.

Read the full MCP documentation →