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, prompts, and logs from multiple MCP sources (Claude, Cursor, etc.) under one roof.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add pluggedin-app -- docker compose up --build -d~/.codex/config.toml
[mcp_servers.pluggedin-app]
command = "docker"
args = ["compose", "up", "--build", "-d"]
# codex mcp add pluggedin-app -- docker compose up --build -d~/.cursor/mcp.json
{
"mcpServers": {
"pluggedin-app": {
"command": "docker",
"args": [
"compose",
"up",
"--build",
"-d"
]
}
}
}.vscode/mcp.json
{
"servers": {
"pluggedin-app": {
"type": "stdio",
"command": "docker",
"args": [
"compose",
"up",
"--build",
"-d"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"pluggedin-app": {
"command": "docker",
"args": [
"compose",
"up",
"--build",
"-d"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"pluggedin-app": {
"command": "docker",
"args": [
"compose",
"up",
"--build",
"-d"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"pluggedin-app": {
"command": "docker",
"args": [
"compose",
"up",
"--build",
"-d"
]
}
}
}