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MCP ConfigsMay 14, 2026·3 min de lecture

PluggedIn — MCP Proxy + Server Manager UI

Self-hostable AI CMS with RAG and an MCP server hub. Turn chats into versioned knowledge; manage MCP integrations. Verified 94★; pushed 2026-05-14.

MCP Hub
MCP Hub · Community
Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Stage only · 27/100Stage only
Surface agent
Tout agent MCP/CLI
Type
Mcp Config
Installation
Git|Docker
Confiance
Confiance : Established
Point d'entrée
docker compose
Commande CLI universelle
npx tokrepo install 13413683-70bb-5c86-8b6c-e1e788ad8828
Introduction

Self-hostable AI CMS with RAG and an MCP server hub. Turn chats into versioned knowledge; manage MCP integrations. Verified 94★; pushed 2026-05-14.

Best for: Teams who want an internal AI knowledge hub plus a UI to discover and configure MCP servers

Works with: Docker Compose; Next.js app + Postgres/pgvector; MCP server hub (README)

Setup time: 10-20 minutes

Key facts (verified)

  • GitHub: 94 stars · 15 forks · pushed 2026-05-14.
  • License: MIT · owner avatar + repo URL verified via GitHub API.
  • README-backed entrypoint: docker compose.

Main

  • Treat it like “Git for AI content”: version conversation outputs, attribute changes, and keep an audit trail for teams.

  • Use the MCP hub to standardize server onboarding: one place to discover, configure, and namespace tools.

  • Start self-hosted with Docker Compose, then decide if you need external vector infra—the README also highlights embedded options.

  • For security, keep tokens/API keys in env vars and rotate them just like any internal platform credential.

README (excerpt)

plugged.in 🔌

plugged.in Logo

Turn your AI conversations into permanent organizational memory

Version GitHub Stars License Docker

🚀 Get Started📚 Documentation🌟 Features💬 Community


🧩 Now Multi‑Arch Ready! Plugged.in Docker images support both amd64 and arm64 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. But when you close that chat window, all that knowledge vanishes. This is the "AI knowledge evaporation" problem.

💡 The Solution

plugged.in is the world's first AI Content Management System (AI-CMS) - a platform that transforms ephemeral AI interactions into persistent, versioned, and searchable organizational knowledge.

Think of it as "Git for AI-generated content" meets "WordPress for AI interactions".


✨ What Makes plugged.in Special

🧠 AI Memory That Persists

Your AI conversations become permanent assets. Every document is versioned, attributed, and searchable.

🤝 Multi-Model Collaboration

Claude writes v1, GPT-4 adds technical specs in v2, Gemini refines in v3 - all tracked and attributed.

🔌 Universal MCP Integration

Works with 1,500+ MCP servers. Connect any tool, any AI, any workflow - all through one interface.

Source-backed notes

  • README provides a Docker Quick Start and opens the app at http://localhost:12005.
  • README highlights a built-in MCP server hub and integration/discovery features.
  • README includes platform stats and describes embedded vector/RAG options for self-hosting.

FAQ

  • Do I need a separate vector DB?: Not always—README mentions embedded options; start simple and scale later.
  • Is it only for MCP?: No—it's an AI knowledge platform, with MCP hub as one core module.
  • What’s the fastest local path?: Use Docker Compose quick start and confirm you can log in and see the MCP hub UI.
🙏

Source et remerciements

Created by VeriTeknik. Licensed under MIT.

VeriTeknik/pluggedin-app — ⭐ 94

Thanks to the upstream maintainers and contributors for publishing this work under an open license.

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