Unified MCP proxy that aggregates all your MCP servers (STDIO, SSE, Streamable HTTP) into one powerful interface. Access any tool through a single
Pluggedin MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Unified MCP proxy that aggregates all your MCP servers (STDIO, SSE, Streamable HTTP) into one powerful interface. Access any tool through a single connection, search across unified documents with built-in RAG, and receive notifications.
Once Pluggedin MCP is connected, these are the calls the assistant has available:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverCline — The Cline tool exposed by this serverCursor — For Cursor, you can use command-line arguments instead of environment variables:Authentication — When using --require-api-auth, include your API key as a Bearer token:Benefits — The Benefits tool exposed by this serverDocumentation — For complete deployment instructions, configuration options, troubleshooting, and technical details, see:Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 5 environment variables: PLUGGEDIN_API_KEY, YOUR_API_KEY, PLUGGEDIN_API_BASE_URL, YOUR_SESSION_ID, YOUR_API_BASE_URL. 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.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Pluggedin MCP's toolset — Prerequisites, Installation, Cline and 4 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.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | The Installation tool exposed by this server. |
| Cline | The Cline tool exposed by this server. |
| Cursor | For Cursor, you can use command-line arguments instead of environment variables: |
| Authentication | When using --require-api-auth, include your API key as a Bearer token: |
| Benefits | The Benefits tool exposed by this server. |
| Documentation | For complete deployment instructions, configuration options, troubleshooting, and technical details, see: |
{
"mcpServers": {
"pluggedin": {
"command": "npx",
"args": ["-y", "@pluggedin/pluggedin-mcp-proxy"],
"env": {
"PLUGGEDIN_API_KEY": "your-value",
"YOUR_API_KEY": "your-value",
"PLUGGEDIN_API_BASE_URL": "your-value",
"YOUR_SESSION_ID": "your-value",
"YOUR_API_BASE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PLUGGEDIN_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
| PLUGGEDIN_API_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| YOUR_SESSION_ID | Configuration value read at startup. | Optional |
| YOUR_API_BASE_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.