beerman
by nitineeen · ai-ml · mcp-server, glama
MCP server for long-term project memory management, allowing AI agents to store and semantically search project milestones, decisions, and architecture specs via Supermemory vector store.
Source: https://github.com/nitineeen/beerman
Install
git clone https://github.com/nitineeen/beermanUse this forAI-extracted
- →Maintain persistent context across IDE sessions by capturing planning conversations and design decisions through a browser extension
- →Retrieve architecture notes and design references within coding agents without manual context re-entry
- →Store and expose screenshots and planning artifacts to Claude agents via MCP for multi-session continuity
Works with
Tags: mcp-server, glama
Source: glama
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
beerman is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install beerman?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support beerman?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is beerman free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.