A Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"meilisearch": {
"args": [
"-n",
"meilisearch-mcp"
],
"command": "uvx"
}
}
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The Meilisearch MCP Server is a Model Context Protocol server that enables any MCP-compatible client (including Claude, OpenAI agents, and other LLMs) to interact with Meilisearch. This stdio-based server allows AI assistants to manage search indices, perform searches, and handle your data through natural conversation.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'meilisearch-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked meilisearch-mcp against OSV.dev.
Click any tool to inspect its schema.
search_assistantGuidance for performing searches effectively
index_managementBest practices for creating and managing indices
troubleshootingTips for resolving common issues
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⚡ Connect any LLM to Meilisearch and supercharge your AI with lightning-fast search capabilities! 🔍
The Meilisearch MCP Server is a Model Context Protocol server that enables any MCP-compatible client (including Claude, OpenAI agents, and other LLMs) to interact with Meilisearch. This stdio-based server allows AI assistants to manage search indices, perform searches, and handle your data through natural conversation.
Why use this?
Get up and running in just 3 steps!
# Using pip
pip install meilisearch-mcp
# Or using uvx (recommended)
uvx -n meilisearch-mcp
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"meilisearch": {
"command": "uvx",
"args": ["-n", "meilisearch-mcp"]
}
}
}
# Using Docker (recommended)
docker run -d -p 7700:7700 getmeili/meilisearch:v1.28
# Or using Homebrew
brew install meilisearch
meilisearch
That's it! Now you can ask your AI assistant to search and manage your Meilisearch data! 🎉
You: "Create a new index called 'products' with 'id' as the primary key"
AI: I'll create that index for you... ✓ Index 'products' created successfully!
You: "Add some products to the index"
AI: I'll add those products... ✓ Added 5 documents to 'products' index
You: "Search for products under $50 with 'electronics' in the category"
AI: I'll search for thos
... [View full README on GitHub](https://github.com/meilisearch/meilisearch-mcp#readme)