MCP Config Generator
Generate the perfect MCP configuration for your AI tool in seconds. Supports Claude Desktop, Cursor, Windsurf, VS Code, Zed, and 100+ more clients.
1Choose your AI client
2Choose installation method
3Install the MCP server
$ pip install aimemory-mcp-server4Add to Claude Desktop config
Config file location: ~/.claude/claude_desktop_config.json
{
"mcpServers": {
"ai-memory": {
"command": "aimemory-mcp-server",
"args": []
}
}
}5Restart and test
- 1Restart Claude Desktop
- 2Start a new conversation and ask:
"Search my memories for [topic]" - 3The AI will use the
search_memorytool to find relevant conversations
Available MCP Tools
Full-text search across all conversations
Save new conversations or memory snippets
Retrieve relevant context for the current query
List all saved conversations with metadata
Get a specific conversation by ID
Update tags, title, or content of a memory
Remove a conversation from storage
Get statistics about your memory store
Export all memories as JSON
Import conversations from a JSON export
List all tags used across conversations
Delete all memories (use with caution)
Frequently Asked Questions
What is MCP (Model Context Protocol)?โผ
Hosted vs Local โ which should I choose?โผ
Do I need to upload my conversations first?โผ
Is this free?โผ
Which clients support MCP?โผ
Ready to give your AI persistent memory?
Upload your ChatGPT, Claude, or DeepSeek conversations and let any MCP-compatible AI assistant search through them.