AI Agent for Meilisearch MCP
Integrate Meilisearch MCP with any LLM to deliver lightning-fast, conversational search and index management. Empower AI assistants to manage, search, and monitor Meilisearch through a universal Model Context Protocol—no API learning required. Unlock seamless index and document control, dynamic connections, and full-feature access via natural language.
Universal LLM Compatibility
Connect Meilisearch to any MCP-compatible client—including Claude, OpenAI agents, and other LLMs—for conversational index management and search. Switch between Meilisearch instances dynamically, manage API keys, and control your search infrastructure through natural language, not code.
- Dynamic Connections.
- Effortlessly switch between Meilisearch instances and update API keys in real time.
- Natural Language Control.
- Issue index and search commands to Meilisearch using conversational prompts with any LLM.
- Secure API Key Management.
- Create, update, and monitor API keys for fine-grained access control instantly.
- Zero Learning Curve.
- No need to learn Meilisearch’s API—manage search and data through dialogue.
Comprehensive Search & Index Management
Empower your AI to create, manage, and monitor indices and documents in Meilisearch. Add, update, and retrieve documents, bulk import data, and delete indices—all through seamless AI interactions. Unlock advanced search features including filters, multi-index, semantic, and hybrid search.
- Advanced Search.
- Search with filters, sorting, facets, and across multiple indices or using hybrid semantic techniques.
- Index & Document Automation.
- Create indices, add, update, and retrieve documents, and bulk import data—all via AI assistant.
- Easy Index Cleanup.
- Delete indices and their documents in a single conversational command.
Full-Stack Monitoring & Customization
Monitor your Meilisearch instance’s health, track indexing tasks, and fine-tune search settings through AI-driven commands. Configure ranking rules, faceting, typo tolerance, and more for optimal search relevancy and performance—all in one conversational workflow.
- Health & Task Monitoring.
- Track indexing progress, check health status, and monitor system performance with ease.
- Customizable Search Settings.
- Fine-tune search relevancy, configure ranking rules, typo tolerance, and filtering—all via AI.
- Security & Compliance.
- Set granular permissions and monitor API key usage for robust access control.
MCP INTEGRATION
Available Meilisearch MCP Integration Tools
The following tools are available as part of the Meilisearch MCP integration:
- get-connection-settings
View the current Meilisearch connection URL and API key status for the MCP server.
- update-connection-settings
Update the Meilisearch URL and API key to connect to a different Meilisearch instance.
- create-index
Create a new search index with an optional custom primary key.
- list-indexes
List all available indexes in the connected Meilisearch instance.
- delete-index
Delete an existing index and all associated documents.
- get-index-metrics
Get detailed metrics and statistics for a specific index.
- get-documents
Retrieve documents from an index with support for pagination.
- add-documents
Add new documents or update existing documents in an index.
- search
Perform flexible search across one or more indices with advanced filtering and sorting.
- get-settings
View the current settings (ranking rules, faceting, etc.) for a specific index.
- update-settings
Update index settings such as ranking rules, faceting, searchable fields, and more.
- get-keys
List all API keys used to access Meilisearch and their permissions.
- create-key
Create a new API key with specific permissions for secure access control.
- delete-key
Delete an existing API key to revoke access.
- get-task
Get status and details about a specific Meilisearch task.
- get-tasks
List tasks in Meilisearch with optional filters for status and type.
- cancel-tasks
Cancel pending or enqueued tasks to halt their execution.
- delete-tasks
Delete completed tasks from the Meilisearch task list.
- health-check
Perform a basic health check of the Meilisearch server.
- get-health-status
Retrieve comprehensive health status information for the Meilisearch instance.
- get-version
Get information about the current Meilisearch version.
- get-stats
Retrieve database statistics such as document count and storage size.
- get-system-info
Get system-level information about the Meilisearch server.
Supercharge Your LLM with Lightning-Fast Search
Connect any AI assistant to Meilisearch in minutes and unlock powerful, conversational search and data management. Try the Meilisearch MCP Server today!
What is Meilisearch
Meilisearch is an open-source, AI-powered search engine designed to deliver lightning-fast and highly relevant search experiences for any website or application. By unifying your search and AI stack into a single information retrieval platform, Meilisearch makes it easy to integrate advanced search capabilities with minimal configuration. The platform supports blazing fast search-as-you-type responses in less than 50 milliseconds, plug-n-play deployment, and out-of-the-box full-text and semantic relevancy. Meilisearch offers features such as hybrid vector search, faceting, filtering, multi-modal search, geosearch, federated search, and advanced analytics. Trusted by developers and industry innovators, Meilisearch is also highly developer-friendly, providing robust SDKs for popular languages and frameworks, making integration seamless and efficient.
Capabilities
What we can do with Meilisearch
Meilisearch empowers developers and organizations to build intuitive, high-performance search experiences for users. With its extensive capabilities, you can enrich your digital products with advanced, AI-powered information retrieval features.
- Lightning-fast search
- Instantly deliver search-as-you-type results in under 50ms for seamless user experiences.
- Hybrid & semantic search
- Combine full-text and vector-based search to provide highly relevant, contextual results.
- Multi-modal & federated search
- Enable search across various content types (text, images, audio, video) and multiple data sources simultaneously.
- Developer-friendly integration
- Use SDKs and APIs in popular languages and frameworks for quick and simple integration.
- Advanced filtering & faceting
- Build robust search interfaces with faceting, filtering, and sorting for granular control.
- Comprehensive analytics
- Gain insights into user behavior and search performance with built-in analytics.
What is Meilisearch
AI agents can leverage Meilisearch to rapidly retrieve, filter, and analyze large volumes of structured and unstructured data. This enables agents to access relevant information in real time, augmenting their reasoning, summarization, and question-answering abilities. Meilisearch’s hybrid search stack (full-text + semantic) allows AI agents to understand context and intent, improving the overall accuracy and usefulness of their outputs. Its easy integration and high performance make it ideal for building advanced RAG (Retrieval Augmented Generation) workflows, LLM-based applications, and automated systems requiring instant, relevant data access.