SAGE MCP Aggregator — unified MCP server for all SAGE Zoo packages
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# isage-mcp — SAGE Unified MCP Server [](https://pypi.org/project/isage-mcp/) [](https://pypi.org/project/isage-mcp/) One MCP server for all SAGE Zoo packages. Install once, configure once — get web search, RAG, agentic tools, and more in any MCP-compatible AI client. ## Quick Start ```bash # Install with all available zoo packages pip install 'isage-mcp[all]' # Start the server (stdio — for Claude Desktop) sage-mcp # Or HTTP/SSE — for VS Code Copilot, Cursor, etc. sage-mcp --transport sse --port 9000 ``` See which zoo packages are loaded: ```bash sage-mcp --list-plugins # Installed SAGE MCP plugins (1): # • sage_tools ``` ## Client Configuration ### Claude Desktop ```json { "mcpServers": { "sage": { "command": "sage-mcp" } } } ``` ### VS Code Copilot (settings.json) ```json "mcp": { "servers": { "sage": { "type": "sse", "url": "http://localhost:9000/sse" } } } ``` ### Cursor / OpenHands / other MCP clients Same pattern — use `sage-mcp` as the command (stdio) or point at the SSE URL. ## Available Zoo Packages | Package | Install | Tools exposed | |---------|---------|---------------| | `isage-tools` | `pip install 'isage-tools[mcp]'` | `duckduckgo_search`, `arxiv_search`, `arxiv_paper_search`, `url_text_extract`, `nature_news_fetch` | | `isage-rag` | `pip install 'isage-rag[mcp]'` | `rag_search`, `index_document` *(coming soon)* | | `isage-agentic` | `pip install 'isage-agentic[mcp]'` | `run_agent`, `run_react_loop` *(coming soon)* | ## How the Plugin System Works `sage-mcp` supports **two registration modes**. New packages should use Mode 1. ### Mode 1 — Auto (recommended, zero MCP code needed) Add ONE line to `pyproject.toml` pointing at your tools module: ```toml [project.entry-points."sage.mcp.modules"] my_package = "my_package.tools" # ← that's it ``` `sage-mcp` scans the module for al…
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