Pluggedin App MCP Server

Every day, you have brilliant conversations with AI - strategy sessions with GPT-4, code reviews with Claude, analysis with Gemini. But when you

Remote serverstreamable-httpPython

What is the Pluggedin App MCP server?

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". The pluggedin app mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 14 defined tools rather than through you.

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Its toolset

Everything the assistant can do here goes through one of these:

  • pluggedin-migrate — One-shot DB migration; reuses the app image, then exits
  • pluggedin-app — Main web application (host port 12005 → container 3000),
  • pluggedin-postgres — PostgreSQL 18 + pgvector database (port 5432)
  • pluggedin-redis — Redis 7 (port 6379)
  • zvec-data — Vector collections (persistent)
  • app-uploads — User uploaded files (persistent)
  • app-logs — Application logs (persistent)
  • mcp-cache — MCP package cache (persistent)
  • Auto-Discovery — Find and configure servers from GitHub, npm, Smithery
  • End-to — End Encryption**: AES-256-GCM for all sensitive data
  • Per — Profile Encryption**: Isolated encryption keys per workspace
  • Multi — Hub Architecture**: Organize projects into separate hubs

Configuration

You will need 8 environment variables: PLUGGEDIN_API_KEY, NEXTAUTH_SECRET, DATABASE_URL, REDIS_URL, NEXTAUTH_URL, NEXT_SERVER_ACTIONS_ENCRYPTION_KEY, ZVEC_DATA_PATH, EMAIL_SERVER_HOST. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Node.js 18+ (20+ recommended) - PostgreSQL 15+ (18+ recommended) - Redis (optional, for rate limiting) - Docker & Docker Compose (for containerized deployment)

Caveats

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Pluggedin App.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the pluggedin app mcp server does with a few real requests.

When to reach for it

Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Pluggedin App's toolset — pluggedin-migrate, pluggedin-app, pluggedin-postgres and 11 more — is a fair guide to whether it matches your workflow. It is maintained by VeriTeknik; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Pluggedin App's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
pluggedin-migrateOne-shot DB migration; reuses the app image, then exits
pluggedin-appMain web application (host port 12005 → container 3000),
pluggedin-postgresPostgreSQL 18 + pgvector database (port 5432)
pluggedin-redisRedis 7 (port 6379)
zvec-dataVector collections (persistent)
app-uploadsUser uploaded files (persistent)
app-logsApplication logs (persistent)
mcp-cacheMCP package cache (persistent)
Auto-DiscoveryFind and configure servers from GitHub, npm, Smithery
End-toEnd Encryption**: AES-256-GCM for all sensitive data
PerProfile Encryption**: Isolated encryption keys per workspace
MultiHub Architecture**: Organize projects into separate hubs
ClineVS Code extension for AI-assisted development
Projectscoped isolation with per-field filter validation

How to install the Pluggedin App MCP server

{
  "mcpServers": {
    "pluggedin": {
      "command": "npx",
      "args": ["-y", "@pluggedin/pluggedin-mcp-proxy@latest"],
      "env": {
        "PLUGGEDIN_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Node.js 18+ (20+ recommended) - PostgreSQL 15+ (18+ recommended) - Redis (optional, for rate limiting) - Docker & Docker Compose (for containerized deployment)
VariableDescriptionRequired
PLUGGEDIN_API_KEYCredential the server authenticates with.Yes
NEXTAUTH_SECRETCredential the server authenticates with.Yes
DATABASE_URLEndpoint or connection string the server talks to.Yes
REDIS_URLEndpoint or connection string the server talks to.Yes
NEXTAUTH_URLEndpoint or connection string the server talks to.Yes
NEXT_SERVER_ACTIONS_ENCRYPTION_KEYCredential the server authenticates with.Yes
ZVEC_DATA_PATHFilesystem location the server is allowed to use.Optional
EMAIL_SERVER_HOSTEndpoint or connection string the server talks to.Optional

Example prompts to try

  • Use Pluggedin App to pluggedin-migrate.
  • Use Pluggedin App to pluggedin-app.
  • Use Pluggedin App to pluggedin-postgres.

Frequently asked questions

It connects Pluggedin App to MCP-compatible AI assistants such as Claude and Cursor, exposing 14 tools (pluggedin-migrate, pluggedin-app, pluggedin-postgres, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Pluggedin App directly.