MCP Memory Keeper provides persistent context management for AI coding assistants. It stores and retrieves conversation history, allowing AI agents to maintain context across sessions. The server connects to Claude AI and exposes APIs for saving, loading, and querying conversation data. Developers use it to build coding assistants that remember past interactions, improving accuracy and reducing redundancy.
MCP Memory Keeper provides persistent context management for AI coding assistants. It stores and retrieves conversation history, allowing AI agents to maintain context across sessions. The server connects to Claude AI and exposes APIs for saving, loading, and querying conversation data. Developers use it to build coding assistants that remember past interactions, improving accuracy and reducing redundancy.
npx -y mcp-memory-keeperAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mkreyman-mcp-memory-keeper-github": {
"command": "npx",
"args": [
"-y",
"npx -y mcp-memory-keeper"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp memory keeper?"
No configuration required. This server works out of the box.
"What resources are available in mcp memory keeper?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp memory keeper"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp memory keeper with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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