PolyMarket MCP Server

# @lishenxydlgzs/simple-files-vectorstore A Model Context Protocol (MCP) server that provides semantic search capabilities across files. This server watches specified directories and creates vector embeddings of file contents, enabling semantic search across your documents. ## Installation & Usage Add to your MCP settings file: ```json { "mcpServers": { "files-vectorstore": { "command": "npx", "args": [ "-y", "@lishenxydlgzs/simple-files-vectorstore" ], "env": { "WATCH_DIRECTORIES": "/path/to/your/directories" }, "disabled": false, "autoApprove": [] } } } ``` MCP settings file locations: - VSCode Cline Extension: `~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json` - Claude Desktop App: `~/Library/Application Support/Claude/claude_desktop_config.json` ## Configuration The server requires configuration through environment variables: ### Required Environment Variables - `WATCH_DIRECTORIES`: Comma-separated list of directories to watch ```json { "mcpServers": { "files-vectorstore": { "command": "npx", "args": [ "-y", "@lishenxydlgzs/simple-files-vectorstore" ], "env": { "WATCH_DIRECTORIES": "/path/to/dir1,/path/to/dir2" }, "disabled": false, "autoApprove": [] } } } ``` ### Optional Environment Variables - `CHUNK_SIZE`: Size of text chunks for processing (default: 1000) - `CHUNK_OVERLAP`: Overlap between chunks (default: 200) ## MCP Tools This server provides the following MCP tools: ### 1. search Perform semantic search across indexed files. Parameters: - `query` (required): The search query string - `limit` (optional): Maximum number of results to return (default: 5, max: 20) Example response: ```json [ { "content": "matched text content", "source": "/path/to/file", "fileType": "markdown", "score": 0.85 } ] ``` ### 2. get_stats Get statistics about indexed files. Parameters: None Example response: ```json { "totalDocuments": 42, "watchedDirectories": ["/path/to/docs"], "processingFiles": [] } ``` ## Features - Real-time file watching and indexing - Semantic search using vector embeddings - Support for multiple file types - Configurable chunk size and overlap - Background processing of files - Automatic handling of file changes and deletions ## Repository [GitHub Repository](https://github.com/lishenxydlgzs/simple-files-vectorstore)