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meilisearch

by meilisearch59kRustUpdated 2026-08-14

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Claude DesktopMCP-compatible clients

Meilisearch is a high-performance search engine API that integrates with AI agents through the Model Context Protocol, offering sub-50-millisecond search responses with hybrid semantic and full-text capabilities. It enables developers to add advanced search functionality to AI assistants, combining traditional keyword matching with vector-based semantic search for more relevant results. The engine supports typo tolerance, filtering, faceted search, geosearch, and conversational search features out of the box. It's available as both an open-source Community Edition under MIT license and an Enterprise Edition with advanced features like sharding and distributed deployment.

Key Features

Hybrid search combining semantic vector search with traditional full-text matching for optimal relevance
Sub-50-millisecond search-as-you-type performance with instant results
Built-in typo tolerance that handles misspellings and typos automatically
Geosearch with location-based filtering and sorting capabilities
Multi-tenancy support with fine-grained API key permissions for secure data access
Conversational search allowing natural language questions with AI-generated answers
Extensive language support optimized for Chinese, Japanese, Hebrew, and Latin-based languages
RESTful API with SDKs for multiple programming languages and frameworks

Use Cases

  • 01Adding intelligent search to AI assistants through MCP integration for document retrieval
  • 02Building e-commerce product search with faceted filtering, price ranges, and ratings
  • 03Implementing location-aware search for finding nearby services or content
  • 04Creating conversational interfaces where users ask questions in natural language
  • 05Powering multi-tenant SaaS applications with personalized search per customer
  • 06Building media libraries with semantic image or video search capabilities

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meilisearch — FAQ

What is the Meilisearch MCP server?+

Meilisearch is a lightning-fast search engine API that integrates with AI agents via the Model Context Protocol, enabling hybrid semantic and full-text search capabilities within AI assistants and workflows.

How do I install and connect Meilisearch to my MCP client?+

First install and run the Meilisearch engine itself, then configure the MCP server connector (meilisearch-mcp) in your client's configuration file with the appropriate connection details and API key.

Which AI clients work with Meilisearch MCP?+

Meilisearch supports MCP-compatible clients and works with LangChain for AI applications. Specific MCP client compatibility depends on the meilisearch-mcp server implementation.

Do I need an API key to use Meilisearch?+

For production use, yes—Meilisearch uses API keys for security management and fine-grained permissions. You generate master API keys and tenant tokens to control access to your search indexes and data.

Is Meilisearch free to use?+

Yes, the Community Edition is fully open-source under the MIT license and free for commercial use. The Enterprise Edition with advanced features like sharding requires a commercial agreement for production use.

What are the prerequisites for running Meilisearch?+

You need to deploy the Meilisearch engine (available as binaries, Docker containers, or via Meilisearch Cloud). For MCP integration, you'll need the separate meilisearch-mcp server configured to connect to your Meilisearch instance.

How do I install meilisearch?+

Open the source repository on GitHub and follow its README. meilisearch is a mcp server — MCP Agents Market links you directly to the official repo.

Is meilisearch free?+

meilisearch is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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