Meilisearch MCP Server
An implementation of the Meilisearch MCP server that provides a standardized interface for AI assistants to interact with Meilisearch
rating : 2.5 points
downloads : 26
What is the Meilisearch MCP Server?
The Meilisearch MCP Server is a tool based on the Model Context Protocol (MCP) used to connect AI assistants (such as Claude) with the Meilisearch search engine. It offers powerful functions such as search, index management, and task monitoring, allowing developers to easily build intelligent search experiences.How to use the Meilisearch MCP Server?
First, install and run the server. Then, add the address of this MCP server to your AI assistant configuration to start using it. It supports various advanced features, such as vector search and custom settings.Applicable scenarios
Suitable for enterprise applications that require efficient full-text retrieval, intelligent recommendation, or complex queries, such as e - commerce websites, knowledge base systems, and content management systems.Main features
Index managementCreate, update, or delete indexes in Meilisearch.
Document managementAdd, update, or delete documents to optimize search performance.
Advanced search capabilitiesSupports complex search filters and sorting rules.
Experimental vector searchUse embedding models for semantic similarity search.
Advantages and limitations
Advantages
A unified API interface simplifies the development process.
Supports real - time search and large - scale data processing.
Built - in task queues ensure operational stability.
Limitations
Scenarios with high low - latency requirements may require additional optimization.
Some advanced features are still in the experimental stage.
How to use
Install the Meilisearch MCP Server
Quickly deploy the server via NPM or Docker.
Configure environment variables
Edit the.env file to set Meilisearch connection information.
Start the service
Execute the command to start the MCP server.
Usage examples
Search for product namesFind information about specific products by keywords.
Bulk upload documentsImport multiple PDF files at once.
Frequently Asked Questions
How to integrate the Meilisearch MCP Server into Claude Desktop?
Does it support vector search?
Related resources
Official documentation
Fully understand the functions of the Meilisearch MCP Server.
GitHub repository
View the source code and contribute to the project.
Tutorial video
Watch a quick - start demonstration.
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points