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by dealwallet1 • Documentation & Docs
A Python MCP server that exposes Meilisearch index, document, settings, task and system management operations to LLM agents for search and admin workflows.
Search one or multiple Meilisearch indices programmatically, including filtering, sorting, pagination, and cross-index aggregation of results.
Perform index and document management tasks such as creating indexes, adding/updating documents, and retrieving documents with pagination.
Monitor and manage Meilisearch operational aspects like tasks, API keys, connection settings, health checks, and system statistics.
This server implements a Model Context Protocol (MCP) interface for interacting with a Meilisearch instance, allowing agents to search indices, manage documents and settings, monitor tasks, and handle API keys. It supports dynamic connection configuration so agents can switch Meilisearch instances at runtime, and includes tools for system health, statistics, and version info. The project is implemented in Python and provides examples for integration with Claude Desktop and the MCP Inspector; a TypeScript client integration is also referenced for browser usage. Designed to let agents perform both user-facing searches and administrative operations programmatically.
Get current Meilisearch connection settings
Update Meilisearch connection settings
Check Meilisearch server health
Get Meilisearch version information
Get database statistics
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