beerman
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.
README
šŗ BeerMan - Long-Term Project Memory Engine
BeerMan is a professional pair-programming memory system that acts as a continuous intelligence bridge between your IDE agents (Anti-Gravity, Claude Code, Cursor) and your planning sessions. It leverages Supermemory as a centralized, canonical vector store for all architectural guidelines, design decisions, code watchers, and context captures.
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Planning & Session ā
ā (ChatGPT / Claude Web Chats / Scrolling Screenshots) ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā¬āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā (Browser Sidebar Extension)
ā¼
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Supermemory Vector Store ā
āāāāāāāāāāāāāāāā¬āāāāāāāāāāāāāāāā
ā (Memory Bridge / MCP API)
ā¼
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Development Workspace ā
ā (Anti-Gravity / Claude Code / Cursor / VS Code) ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā” Quick Start (One-Liner)
Run the following command in your terminal to instantly clone, install dependencies, compile TypeScript packages, and start the development servers:
git clone https://github.com/nitineeen/beerman.git && cd beerman && npm install && npm run build && npm run dev
Once running, your local dashboard will be hosted at http://localhost:2414.
šļø System Architecture & Monorepo Layout
BeerMan is built as a TypeScript monorepo where components have single, isolated responsibilities:
project-beerman/
āāā apps/
ā āāā extension/ # Unpacked Manifest V3 Chrome Sidebar Extension
ā āāā dashboard/ # Next.js workspace management dashboard & setup guide
āāā packages/
ā āāā core/ # Shared project type definitions, categories, and models
ā āāā memory/ # Supermemory client SDK for ingestion and semantic searches
ā āāā mcp-server/ # Model Context Protocol (MCP) server integration
āāā .agents/
āāā skills/ # Structured agent guidelines (YAML + Markdown format)
1. Chrome Extension Sidebar (apps/extension)
- Slides out on the right viewport, automatically resizing and rendering target webpages responsively.
- Direct Supermemory integration for live project creation, renaming, and document deletion.
- Features sequential upload queueing with robust error handling and duplicate prevention.
- Seamlessly captures raw text selections, full-page screenshots, files, and chat logs.
2. BeerMan Dashboard (apps/dashboard)
- Next.js web application that displays your living docs, project indexing details, and setup guides.
3. Model Context Protocol Server (packages/mcp-server)
- Exposes tools to your AI agent so it can interact with your memory directly:
list_projects: Lists registered project indices.open_project(projectId): Selects active context.store_memory(content, category, tags): Commits structured milestones, decisions, architecture specs, or roadmaps.search_memory(query): Performs vector/semantic search on project memory.
š Setup & Installation
Step 1: Install Dependencies & Build
Compile the TypeScript packages and Next.js applications:
npm install
npm run build
Step 2: Configure the MCP Server in your IDE
Add the BeerMan MCP server configuration to link it with your agent. Ensure you replace /absolute/path/to/project-beerman with your actual directory path.
For Anti-Gravity or Claude Code:
Add this configuration block to your global configurations at ~/.gemini/config/mcp_config.json or ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"beerman": {
"command": "node",
"args": ["/absolute/path/to/project-beerman/packages/mcp-server/dist/index.js"],
"env": {
"SUPERMEMORY_API_KEY": "your_supermemory_api_key_here"
}
}
}
}
For Cursor:
- Navigate to Settings > Features > MCP.
- Click + Add New MCP Server.
- Fill out the fields:
- Name:
beerman - Type:
command - Command:
node /absolute/path/to/project-beerman/packages/mcp-server/dist/index.js
- Name:
- Under Environment Variables, add
SUPERMEMORY_API_KEYwith your API key.
Step 3: Install the Chrome Sidebar Extension
- Open Google Chrome and go to
chrome://extensions/. - Toggle Developer mode on (top-right corner).
- Click Load unpacked (top-left corner).
- Select the directory:
project-beerman/apps/extension. - Click the extension icon in your toolbar to open the right-side panel.
- Enter your Supermemory API Key, and manage your projects dynamically.
š ļø Deploying & Sharing
1. Deploying the Dashboard (Vercel)
The dashboard can be instantly deployed to Vercel:
- Connect this repository to your Vercel Account.
- Set the Root Directory to
apps/dashboard. - Vercel will automatically compile the Next.js bundle and deploy it.
2. Sharing the Extension
- Unpacked: Zip the
apps/extensionfolder and distribute it to your team to load via Developer Mode. - Chrome Web Store: Package the extension and upload it to the Chrome Developer Dashboard to publish it.
3. MCP Server Cloud Deployment
You can host the MCP server on Railway, Fly.io, or Render, exposing it via SSE (Server-Sent Events) or standard stdio transports, allowing team members to connect to the same remote memory.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.