beerman
Search & Web
Local
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.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/jb27e06wmj for deploy options, or install from https://github.com/nitineeen/beerman (see README for MCP config).
2
GitHub
Install from https://github.com/nitineeen/beerman and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.