The pce-memory MCP server provides context-aware memory and retrieval for LLM applications. It exposes tools for storing, retrieving, and managing conversational context. The server connects to the Process-Context Engine, offering persistent memory capabilities. Developers use it to build chatbots, virtual assistants, and other AI applications requiring context retention across sessions.
The pce-memory MCP server provides context-aware memory and retrieval for LLM applications. It exposes tools for storing, retrieving, and managing conversational context. The server connects to the Process-Context Engine, offering persistent memory capabilities. Developers use it to build chatbots, virtual assistants, and other AI applications requiring context retention across sessions.
npx -y pce-memoryAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"pce-memory-npm": {
"command": "npx",
"args": [
"-y",
"npx -y pce-memory"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from pce-memory?"
No configuration required. This server works out of the box.
"What resources are available in pce-memory?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in pce-memory"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in pce-memory with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.