plugged.in MCP Proxy Server

The plugged.in MCP Proxy Server serves as a central hub that consolidates multiple Model Context Protocol (MCP) endpoints into a single, easy‑to‑use interface. By retrieving tool, prompt, and resource definitions from the plugged.in App API, it eliminates the need for developers to manually configure each MCP client. The proxy automatically routes requests to the correct underlying server—whether it’s a STDIO, SSE, or streamable HTTP MCP—making it simple to mix and match services from different providers without changing client code.

For AI developers, this means a dramatically lower barrier to experimentation and deployment. The built‑in playground lets teams test Claude, Gemini, OpenAI, or xAI models against any MCP configuration on the fly, all within one web interface. When a real application is ready, the same proxy can be swapped into production, preserving the exact same configuration and eliminating duplicate setup work. The ability to switch between multiple workspaces with a single click further supports large teams or projects that require isolated environments for testing, staging, and production.

Key capabilities extend beyond simple request routing. The proxy offers a unified document search engine that aggregates content from all connected MCPs, enabling retrieval‑augmented generation (RAG) across heterogeneous data sources. The RAG v2 feature set allows MCP servers to create, update, and version documents directly in a shared library, complete with full model attribution, change tracking, and deduplication. Advanced search filters—by AI model, provider, date range, tags, or source type—provide fine‑grained control over retrieved snippets. Real‑time notifications from any model, optionally delivered via email, keep users informed of changes or new content without polling.

Integration into AI workflows is seamless: developers can point any MCP‑compatible client (Claude Desktop, Cline, Cursor, etc.) at the proxy URL and inherit all of its features without additional configuration. The dual transport modes (STDIO or streamable HTTP) give flexibility to match the deployment environment, while OAuth token management ensures secure authentication for protected endpoints. By exposing a full MCP API surface—including tools, resources, templates, prompts, and custom instructions—the proxy empowers developers to orchestrate complex AI behaviors across multiple models and data sources from a single, unified entry point.