This MCP server implementation provides a bridge to Meilisearch, a powerful open-source search engine. It enables AI assistants to perform advanced search operations, manage indexes and documents, and configure search settings through a standardized interface. The server integrates closely with Meilisearch's API, offering features like faceted search, custom ranking, and asynchronous task management, making it ideal for applications requiring fast, relevant, and customizable search functionality.
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Highlight AICreate a new index
Get information about an index
List all indexes
Update an index
Delete an index
Add documents to an index
Get a document by ID
Get multiple documents
Update documents
Delete a document by ID
Delete multiple documents
Delete all documents in an index
Search for documents
Perform multiple searches in a single request
Get index settings
Update index settings
Reset index settings to default
List tasks with optional filtering
Get information about a specific task
Cancel tasks based on provided filters
Wait for a specific task to complete
Check the health status of the Meilisearch server
Get version information
Get system information
Get statistics about indexes
Enable vector search
Get experimental features status
Configure embedders
Get embedders configuration
Reset embedders configuration
Perform vector search
