by VeriTeknik · MCP Server · ★ 97
plugged.in 🔌 Turn your AI conversations into permanent organizational memory 🚀 Get Started • 📚 Documentation • 🌟 Features • 💬 Community 🧩 Now Multi‑Arch Ready! Plugged.in Docker images support both and architectures via a unified manifest. 🧠 v3.0.0 — Embedded RAG Vector Engine: RAG now runs fully in-process using zvec (RocksDB + HNSW). No external services needed — document processing, chunking, and semantic search are all built-in. 🎯 The Problem We Solve Every day, you have brilliant conversations with AI - strategy sessions with GPT-4, code reviews with Claude, analysis with Gemini.
| Stars | 97 |
| Forks | 15 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.7318086203298/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-27 |
| Created | 2025-03-23 |
| Platforms | browser, claude-code, cli, mcp, node |
| Est. Tokens | ~19k |
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pluggedin-app is The Crossroads for AI Data Exchanges. A unified, self-hostable web interface for discovering, configuring, and managing Model Context Protocol (MCP) servers—bringing together AI tools, workspaces, pro. It is categorized as a MCP Server with 97 GitHub stars.
pluggedin-app is primarily written in TypeScript. It covers topics such as ai, mcp, mcp-client.
You can find installation instructions and usage details in the pluggedin-app GitHub repository at github.com/VeriTeknik/pluggedin-app. The project has 97 stars and 15 forks, indicating an active community.
pluggedin-app is released under the MIT license, making it free to use and modify according to the license terms.