Memforge Memory

Overview

Memforge Memory is a Model Context Protocol (MCP) server: Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

It runs locally: the npm package @memforgeai/memory-service speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need DATABASE_URL, OPENAI_BASE_URL, OPENAI_API_KEY (among others). The current release is v1.0.1.

You'll find Memforge Memory in the Memory category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Memforge Memory for volsier, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "memforge_memory": {
      "command": "npx",
      "args": [
        "-y",
        "@memforgeai/memory-service"
      ],
      "env": {
        "DATABASE_URL": "<database-url>",
        "OPENAI_BASE_URL": "<openai-base-url>",
        "OPENAI_API_KEY": "<openai-api-key>",
        "OPENAI_EMBEDDING_MODEL": "<openai-embedding-model>"
      }
    }
  }
}

Requires DATABASE_URL, OPENAI_BASE_URL, OPENAI_API_KEY