meilisearch/meilisearch-mcp

Meilisearch |
Meilisearch Cloud |
Documentation |
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⚡ Connect any LLM to Meilisearch and supercharge your AI with lightning-fast search capabilities! 🔍
🤔 What is this?
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?**
- 🤖 **Universal Compatibility** - Works with any MCP client, not just Claude
- 🗣️ **Natural Language Control** - Manage Meilisearch through conversation with any LLM
- 🚀 **Zero Learning Curve** - No need to learn Meilisearch's API
- 🔧 **Full Feature Access** - All Meilisearch capabilities at your fingertips
- 🔄 **Dynamic Connections** - Switch between Meilisearch instances on the fly
- 📡 **stdio Transport** - Currently uses stdio; native Meilisearch MCP support coming soon!
✨ Key Features
- 📊 **Index & Document Management** - Create, update, and manage search indices
- 🔍 **Smart Search** - Search across single or multiple indices with advanced filtering
- ⚙️ **Settings Configuration** - Fine-tune search relevancy and performance
- 📈 **Task Monitoring** - Track indexing progress and system operations
- 🔐 **API Key Management** - Secure access control
- 🏥 **Health Monitoring** - Keep tabs on your Meilisearch instance
- 🧱 **Structured Tool Output** - Every data-returning tool provides structuredContent alongside text, per the latest MCP specification
- 🔀 **Modern MCP Stack** - Built on the official MCP Python SDK v2 (spec 2026-07-28), backwards compatible with older MCP clients
- 🐍 **Python Implementation** - TypeScript version also available
🚀 Quick Start
Get up and running in just 3 steps!
1️⃣ Install the package
2️⃣ Configure Claude Desktop
Add this to your claude_desktop_config.json:
3️⃣ Start Meilisearch
That's it! Now you can ask your AI assistant to search and manage your Meilisearch data! 🎉
📚 Examples
💬 Talk to your AI assistant naturally:
🔍 Advanced Search Example:
🔧 Installation
Prerequisites
- Python ≥ 3.10
- Running Meilisearch instance
- MCP-compatible client (Claude Desktop, OpenAI agents, etc.)
From PyPI
From Source (for development)
Using Docker
Perfect for containerized environments like n8n workflows!
From Docker Hub
Build from Source
Integration with n8n
For n8n workflows, you can use the Docker image directly in your setup:
🛠️ What Can You Do?
🔗 Connection Management
- View current connection settings
- Switch between Meilisearch instances dynamically
- Update API keys on the fly
📁 Index Operations
- Create new indices with custom primary keys
- List all indices with stats
- Delete indices and their data
- Get detailed index metrics
📄 Document Management
- Add or update documents
- Retrieve documents with pagination
- Bulk import data
🔍 Search Capabilities
- Search with filters, sorting, and facets
- Multi-index search
- Semantic search with vectors
- Hybrid search (keyword + semantic)
⚙️ Settings & Configuration
- Configure ranking rules
- Set up faceting and filtering
- Manage searchable attributes
- Customize typo tolerance
🔐 Security
- Create and manage API keys
- Set granular permissions
- Monitor key usage
⚠️ Note: While you can add and update hosts and API keys directly in chat for convenience, this approach is primarily designed for development use cases (like connecting to multiple instances on the fly). It does not follow best MCP security practices and should not be used in production environments without proper safeguards.
📊 Monitoring & Health
- Health checks
- System statistics
- Task monitoring
- Version information
🌍 Environment Variables
Configure default connection settings: