Meilisearch MCP Server

A Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces like Claude.

Features

• Index and document management
• Settings configuration and management
• Task monitoring and API key management
• Built-in logging and monitoring tools
• Dynamic connection configuration to switch between Meilisearch instances

Installation

# Clone repository
git clone <repository_url>
cd meilisearch-mcp

# Create virtual environment and install
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

Requirements

• Python ≥ 3.9
• Running Meilisearch instance
• Node.js (for testing with MCP Inspector)

Usage

Environment Variables

MEILI_HTTP_ADDR=http://localhost:7700  # Default Meilisearch URL
MEILI_MASTER_KEY=your_master_key       # Optional: Default Meilisearch API key

Dynamic Connection Configuration

The server provides tools to view and update connection settings at runtime:

• get-connection-settings: View current connection URL and API key status
• update-connection-settings: Update URL and/or API key to connect to a different Meilisearch instance

Example usage through MCP:

// Get current settings
{
  "name": "get-connection-settings"
}

// Update connection settings
{
  "name": "update-connection-settings",
  "arguments": {
    "url": "http://new-host:7700",
    "api_key": "new-api-key"
  }
}

Running the Server

python -m src.meilisearch_mcp

Testing with MCP Inspector

npx @modelcontextprotocol/inspector python -m src.meilisearch_mcp

Available Tools

• Index Management: create/update/delete indexes
• Document Operations: add/update/delete documents
• Settings Management: configure search settings
• API Key Management: create/update/delete API keys
• Task Monitoring: track and manage asynchronous tasks
• System Monitoring: health checks and metrics

Contributing

1. Fork repository
2. Create feature branch
3. Commit changes
4. Create pull request

License

MIT