# See repository for install instructions
{
"mcpServers": {
"aborgeev-copilot-memory-mcp": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"aborgeev-copilot-memory-mcp": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"aborgeev-copilot-memory-mcp": {
"command": "npx",
"args": []
}
}
}
About This MCP Server
The io.github.LabForgeDev/copilot-memory-mcp server provides persistent semantic memory for AI agents, utilizing local ChromaDB vector search to enable data storage and retrieval without relying on cloud services. This server connects to AI coding assistants, allowing them to access and build upon previously learned information. Developers would use this server when they need to implement a local, self-contained memory solution for their AI agents, such as those using Claude Code or Cursor.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the sse transport.
Package
ghcr.io/labforgedev/copilot-memory-mcp:1.0.0 on oci
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the sse transport and is available on oci.
What tools does it provide?
The Copilot Memory MCP server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.
