mcpField
M

memforge-memory

Local
@volsierMemory & Knowledge

About memforge-memory

Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "volsier-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>"
      }
    }
  }
}
Run commandnpx -y @memforgeai/memory-service
Environment variables to set
DATABASE_URLPostgreSQL connection string
OPENAI_BASE_URLEmbedding API base URL (OpenAI-compatible)
OPENAI_API_KEYSecretEmbedding API key
OPENAI_EMBEDDING_MODELEmbedding model name (e.g. BAAI/bge-m3)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@memforgeai/memory-service1.0.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.