Memforge-memory MCP Server

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

Local serverstdio

What is the Memforge-memory MCP Server?

Memforge-memory is an MCP integration. Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.

Packages and local setup

The published npm package is @memforgeai/memory-service, version 1.0.1. Its declared MCP transport is stdio.

The package declares DATABASE_URL (required): PostgreSQL connection string; OPENAI_BASE_URL (required): Embedding API base URL (OpenAI-compatible); OPENAI_API_KEY (required): Embedding API key; OPENAI_EMBEDDING_MODEL (required): Embedding model name (e.g. BAAI/bge-m3).

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry. This profile uses version 1.0.1 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related developer tools MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
DATABASE_URLPostgreSQL connection stringYes
OPENAI_BASE_URLEmbedding API base URL (OpenAI-compatible)Yes
OPENAI_API_KEYEmbedding API keyYes
OPENAI_EMBEDDING_MODELEmbedding model name (e.g. BAAI/bge-m3)Yes