What is the Meilisearch MCP Server?

The Meilisearch MCP Server is a tool designed to facilitate interactions with Meilisearch using Model Context Protocol interfaces, enhancing search capabilities and data management.

How does the MCP Server integrate with UBOS?

The MCP Server integrates with UBOS by enabling AI agents to interact with Meilisearch, allowing for customized AI solutions and enhanced data access.

What are the key features of the MCP Server?

Key features include index and document management, settings configuration, task monitoring, API key management, dynamic connection configuration, and smart search capabilities.

What are the requirements for installing the MCP Server?

Requirements include Python ≥ 3.9, a running Meilisearch instance, and Node.js for testing with MCP Inspector.

How can I update the connection settings in the MCP Server?

Connection settings can be updated at runtime using the server’s dynamic connection configuration tools, allowing you to switch between different Meilisearch instances.