Plugged.in MCP Proxy
The Plugged.in MCP Proxy is your single connection point to every MCP server defined in your Plugged.in workspace. It pulls configuration from the Plugged.in API, normalises capability names, and adds knowledge-base and notification tooling so any MCP client can act on your data.Use the proxy when you want Claude, Cline, Cursor, Smithery, or any other MCP-compatible client to talk to multiple servers without bespoke configuration.
Core responsibilities
- Fetch server definitions, instructions, and static prompts from Plugged.in using
PLUGGEDIN_API_KEY. - Expose every discovered tool, resource, and prompt to the connected MCP client.
- Provide Plugged.in-specific static tools—discovery, notifications, and document management—alongside downstream servers.
- Prefix tool names with their server UUID to prevent collisions (override with
PLUGGEDIN_UUID_TOOL_PREFIXING=falseif required). - Run in STDIO mode for desktop clients or as a Streamable HTTP service for remote consumers.
Request lifecycle
1
Client request
The MCP client asks for tools/resources/prompts or invokes an operation through STDIO or HTTP.
2
Workspace lookup
The proxy validates your API key, then queries the Plugged.in API. Responses are cached for 1 second to keep calls fast while reflecting recent changes.
3
Routing
Based on the capability metadata, the proxy either calls the downstream MCP server (STDIO, SSE, Streamable HTTP) or serves a Plugged.in static tool.
4
Response shaping
Results are normalised, prefixed, and returned to the MCP client. Knowledge-base answers include document IDs and snippets; notifications include severity metadata.
Transport modes
| Mode | Default port | When to choose it | Command |
|---|---|---|---|
| STDIO | N/A | Claude Desktop, Cursor, Cline, or MCP Inspector running locally. | PLUGGEDIN_API_KEY=... npx @pluggedin/pluggedin-mcp-proxy |
| Streamable HTTP | 12006 | External deployments, remote IDEs, CI jobs, or multiple users sharing the same proxy. | ... --transport streamable-http --port 12006 [--require-api-auth] [--stateless] |
--stateless when you want a fresh transport per request (useful for serverless deployments). Add --require-api-auth to enforce Authorization: Bearer <PLUGGEDIN_API_KEY>.
Built-in Plugged.in tool surface
| Category | Tools | Notes |
|---|---|---|
| Onboarding | pluggedin_setup | Works without an API key to show setup, configuration, and troubleshooting help. |
| Discovery | pluggedin_discover_tools | Forces a capabilities refresh. Partial metadata is available without a key; full results require authentication. |
| Knowledge base | pluggedin_ask_knowledge_base, pluggedin_search_documents, pluggedin_get_document, pluggedin_update_document, pluggedin_create_document, pluggedin_list_documents | Read and write documents stored in Plugged.in with full model attribution metadata. |
| Notifications | pluggedin_send_notification, pluggedin_list_notifications, pluggedin_mark_notification_done, pluggedin_delete_notification | Send notifications (with optional email) and manage inbox state. |
Integration with the Plugged.in app
- Create and manage servers under MCP Servers in Plugged.in; the proxy reads the API on demand.
- The proxy sanitises environment variables and command arguments before spawning STDIO servers.
- Server metadata includes transport type, custom headers, session IDs, and optional instructions that appear as formatted prompts in your client.
- Knowledge-base operations respect workspace permissions, document visibility, and model attribution.
Security posture
- API keys are validated for allowed characters before use. Invalid input fails fast.
- Downstream HTTP URLs are checked to avoid localhost/SSRF exploits.
- Command execution is allow-listed to frequently used binaries (
node,npx,python, etc.). - Optional HTTP auth (
--require-api-auth) ensures remote deployments stay private. - Set
PLUGGEDIN_DEBUG=trueto emit detailed logs during debugging; leave itfalsein STDIO mode to avoid polluting the MCP stream.
Next steps
- Follow the Setup Guide to configure credentials and connect your clients.
- When you are ready to deploy, use the Installation guide for CLI, pnpm, or Docker workflows.

