MCP ConfigsMay 14, 2026·3 min read

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.

Agent ready

This asset can be read and installed directly by agents

TokRepo exposes a universal CLI command, install contract, metadata JSON, adapter-aware plan, and raw content links so agents can judge fit, risk, and next actions.

Stage only · 27/100Stage only
Agent surface
Any MCP/CLI agent
Kind
Mcp Config
Install
Git|Docker
Trust
Trust: Established
Entrypoint
docker compose
Universal CLI install command
npx tokrepo install 13413683-70bb-5c86-8b6c-e1e788ad8828
Intro

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 & Thanks

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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