[Server Request]: Unified AI memory and tool layer connecting all your MCP servers.

[ckaraca]

Server Name

Plugged.in MCP Proxy

Server URL/Repository

https://github.com/VeriTeknik/pluggedin-mcp

Description

Unified AI infrastructure combining memory, knowledge, and tool orchestration.
Provides a multi-architecture MCP proxy and SDK suite connecting Claude, GPT, Gemini, and 1,500+ MCP servers through a single persistent memory layer.

Requirements Check

• Provides clear installation and configuration instructions
• Focused on developer tools/services (not consumer applications)
• Has appropriate icon or branding available

Configuration JSON

{
"mcpServers": {
"pluggedin": {
"command": "npx",
"args": ["-y", "@pluggedin/pluggedin-mcp-proxy@latest"],
"env": {
"PLUGGEDIN_API_KEY": "YOUR_API_KEY"
},
"description": "Connects your AI clients to the Plugged.in unified memory and tool layer"
}
}
}

Authentication

• This server uses OAuth authentication

Icon

• I've attached a square SVG logo to this issue

Documentation URL (if applicable)

https://docs.plugged.in

Additional Context

Plugged.in turns ephemeral AI sessions into a shared, versioned memory.

This MCP Proxy enables Cursor users to connect Claude, GPT, Gemini, and 1,500+ MCP servers through one persistent AI layer — enabling memory, document retrieval (RAG), and unified tool orchestration.

Why it matters:
• Instant context continuity across sessions and models.
• Secure by design (OAuth 2.1, mTLS, sandboxed execution).
• Open-source (MIT) and multi-arch compatible.
• Active community at https://plugged.in/.

Docs: https://docs.plugged.in/

Submission Guidelines

• Read the Contributing Guidelines
• Searched existing issues and servers to avoid duplicates
• Server provides significant value to developer community