devlimelabs meilisearch ts mcp

WHAT IT CONNECTS

What devlimelabs meilisearch ts mcp gives an AI Agent

• **Index Management**: Create, update, and delete indexes
• **Document Management**: Add, update, and delete documents
• **Search Capabilities**: Perform searches with various parameters and filters
• **Settings Management**: Configure index settings
• **Task Management**: Monitor and manage asynchronous tasks
• **System Operations**: Health checks, version information, and statistics
• **Vector Search**: Experimental vector search capabilities
• Clone the repository:
• Install dependencies:
• Create a `.env` file based on the example:
• Edit the `.env` file to configure your Meilisearch connection.
• Create a `.env` file from `.env.example` if it doesn't exist
• Install dependencies
• Build the project
• Run tests to ensure everything is working correctly
• Detect your operating system and locate the Claude for Desktop configuration file
• Read your Meilisearch configuration from the `.env` file
• Generate the necessary configuration for Claude for Desktop
• Provide instructions for updating your Claude for Desktop configuration
• Locate your Claude for Desktop configuration file:
• **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
• **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
• **Linux**: `~/.config/Claude/claude_desktop_config.json`
• Add the following configuration (adjust paths as needed):
• Restart Claude for Desktop to apply the changes.
• In Claude, type: "I want to use the Meilisearch MCP server" to activate the integration.
• Install and set up the Meilisearch MCP Server:
• Start the MCP server:
• In Cursor, open the Command Palette (Cmd/Ctrl+Shift+P) and search for "MCP: Connect to MCP Server".
• Select "Connect to a local MCP server" and enter the following details:
• **Name**: Meilisearch
• **Command**: node
• **Arguments**: /absolute/path/to/meilisearch-ts-mcp/dist/index.js
• **Environment Variables**:
• Click "Connect" to establish the connection.
• You can now interact with your Meilisearch instance through Cursor by typing commands like "Search my Meilisearch index for documents about..."
• `create-index`: Create a new index
• `get-index`: Get information about an index
• `list-indexes`: List all indexes
• `update-index`: Update an index
• `delete-index`: Delete an index
• `add-documents`: Add documents to an index
• `get-document`: Get a document by ID
• `get-documents`: Get multiple documents
• `update-documents`: Update documents
• `delete-document`: Delete a document by ID
• `delete-documents`: Delete multiple documents
• `delete-all-documents`: Delete all documents in an index
• `search`: Search for documents
• `multi-search`: Perform multiple searches in a single request
• `get-settings`: Get index settings
• `update-settings`: Update index settings
• `reset-settings`: Reset index settings to default
• Various specific settings tools (synonyms, stop words, ranking rules, etc.)
• `list-tasks`: List tasks with optional filtering
• `get-task`: Get information about a specific task
• `cancel-tasks`: Cancel tasks based on provided filters
• `wait-for-task`: Wait for a specific task to complete
• `health`: Check the health status of the Meilisearch server
• `version`: Get version information
• `info`: Get system information
• `stats`: Get statistics about indexes
• `enable-vector-search`: Enable vector search
• `get-experimental-features`: Get experimental features status
• `update-embedders`: Configure embedders
• `get-embedders`: Get embedders configuration
• `reset-embedders`: Reset embedders configuration
• `vector-search`: Perform vector search