mFlow
An AI programming knowledge base and project management platform built on the MCP (Model Context Protocol). It supports persistent memory and knowledge accumulation across sessions and systems, and integrates with mainstream AI assistants such as Claude and Cursor.
Timeline (last 90 days)
mFlow is a platform that provides AI assistants with memory and a knowledge base that can be persistently saved across sessions and systems via an MCP server.
The process of connecting mFlow's MCP server to an AI client (such as Claude) takes approximately 35 seconds, completed by copying the MCP URL, creating a custom connector, pasting the address, and authorizing with a Google account.
In the demo, Claude Code was asked to analyze code, collect documentation, create a kanban board, and write to the knowledge base, whereupon the assistant automatically created a kanban board with columns and generated a large volume of documents including Architecture Decision Records (ADRs).
In the demo, the assistant identified technical debt in the project and autonomously broke down issues, created tasks and subtasks, added labels, and assigned priorities.
In the demo, an assistant named Hermes connected to mFlow MCP under the same account and was able to accurately return tasks in a blocked state from the kanban board's blocked column.
Storing a project's architectural decisions, technical debt, and team knowledge in a third-party platform carries vendor lock-in risk, and migration costs will increase as the volume of data grows.
The mFlow solution is free and simple to install, making it suitable as an entry-level attempt to validate the concept.
All Facts (7)
The process of connecting mFlow's MCP server to an AI client (such as Claude) takes approximately 35 seconds, completed by copying the MCP URL, creating a custom connector, pasting the address, and authorizing with a Google account.
50%UnverifiedStoring a project's architectural decisions, technical debt, and team knowledge in a third-party platform carries vendor lock-in risk, and migration costs will increase as the volume of data grows.
50%UnverifiedThe mFlow solution is free and simple to install, making it suitable as an entry-level attempt to validate the concept.
50%UnverifiedmFlow is a platform that provides AI assistants with memory and a knowledge base that can be persistently saved across sessions and systems via an MCP server.
50%UnverifiedIn the demo, the assistant identified technical debt in the project and autonomously broke down issues, created tasks and subtasks, added labels, and assigned priorities.
50%UnverifiedIn the demo, Claude Code was asked to analyze code, collect documentation, create a kanban board, and write to the knowledge base, whereupon the assistant automatically created a kanban board with columns and generated a large volume of documents including Architecture Decision Records (ADRs).
50%UnverifiedIn the demo, an assistant named Hermes connected to mFlow MCP under the same account and was able to accurately return tasks in a blocked state from the kanban board's blocked column.
50%