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mcpserver.json2.66 kB
{ "name": "axys-mcp-lite", "description": "Model Context Protocol (MCP) server for AXYS API integration with AI-powered search capabilities. Enables AI assistants to search, filter, and navigate AXYS data through natural language commands.", "version": "1.0.0", "author": "AXYS", "license": "MIT", "repository": { "type": "git", "url": "https://github.com/rajesh-siliconvalleycloudit/axys-mcp-lite.git" }, "homepage": "https://github.com/rajesh-siliconvalleycloudit/axys-mcp-lite", "documentation": "https://github.com/rajesh-siliconvalleycloudit/axys-mcp-lite#readme", "keywords": [ "mcp", "model-context-protocol", "axys", "api", "claude", "ai", "search", "data-integration", "gpt", "ai-search", "natural-language", "structured-search", "unstructured-search", "document-search" ], "tools": [ { "name": "ai_search_structured", "description": "Search structured data sources using natural language. Find data in tables, databases, and structured formats by simply describing what you're looking for.", "inputSchema": { "type": "object", "properties": { "query": { "type": "string", "description": "Natural language query to search structured data (e.g., 'Find all users in engineering department')" } }, "required": ["query"] } }, { "name": "ai_search_unstructured", "description": "Search documents, videos, and files using natural language. Find information in unstructured content like PDFs, videos, and text files.", "inputSchema": { "type": "object", "properties": { "query": { "type": "string", "description": "Natural language query to search documents and videos (e.g., 'How to install AXYS?')" }, "searchIndices": { "type": "string", "description": "Optional: Specific index to search (e.g., 'video', 'document')" }, "fileOnly": { "type": "boolean", "description": "Optional: Return only file references without content" } }, "required": ["query"] } }, { "name": "validate_connection", "description": "Validate the connection to the AXYS MCP API. Tests connectivity and authentication to ensure the server is properly configured.", "inputSchema": { "type": "object", "properties": {} } } ], "installation": { "method": "npm", "package": "axys-mcp-lite", "command": "npx axys-mcp-lite" } }

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