The Meilisearch MCP Server is a Model Context Protocol server that enables any MCP-compatible client (including Claude, OpenAI agents, and other LLMs) to interact with Meilisearch. This stdio-based server allows AI assistants to manage search indices, perform searches, and handle your data through natural conversation. It delivers universal compatibility with MCP clients, natural language control, zero learning curve, full feature access, dynamic connections, and stdio transport (native MCP support coming soon). Key capabilities include Index & Document Management (create, update, and manage search indices and documents), Smart Search across single or multiple indices with advanced filtering, and Settings Configuration for relevancy and performance. Additional tooling covers Task Monitoring, API Key Management, and Health Monitoring to oversee operations and access. The server is implemented in Python (with a TypeScript version also available), and supports Docker deployments, environment variable configuration, and a variety of developer workflows including testing and MCP Inspector validation. It exposes a suite of commands for connection management, index and document operations, search, settings, keys, tasks, and system monitoring.