Meilisearch MCP

Name: Meilisearch MCP
Author: Meilisearch

by Meilisearch

Full-text and semantic search with Meilisearch — index management, search, and API key control

search Python Intermediate Self-hostable Docker Verified

⭐ 171 stars 📅 Updated: 1mo ago

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Description

MCP server for interacting with Meilisearch, the lightning-fast open-source search engine. Gives LLMs full access to Meilisearch's capabilities — create and manage indexes, add and update documents, perform advanced searches with filtering and sorting, configure settings, manage API keys, and monitor tasks. Supports both traditional full-text search and vector/semantic search for AI-native applications. Multi-index search allows querying across multiple indexes in a single request. Ideal for developers building search-powered applications who want AI-assisted index management and search exploration.

✅ Best for

Developers building search features who want AI-assisted Meilisearch management

⏭️ Skip if

You need a database-level MCP connector rather than a search engine integration

💡 Use cases

Managing Meilisearch indexes and documents from AI assistants
Testing and refining search queries with filters, facets, and sorting
Configuring search relevancy settings and synonyms through natural language
Building and debugging semantic search pipelines with vector support

👍 Pros

✓ Comprehensive coverage of Meilisearch API — indexes, documents, search, settings, keys
✓ Sub-50ms search performance on millions of documents
✓ Supports both full-text and semantic/vector search modes
✓ Multiple install options — pip, uvx, or Docker

👎 Cons

✗ Requires a running Meilisearch instance with network access
✗ API key management operations require the master key
✗ Large document batches may take time to index asynchronously

🔧 Exposed tools (9 tools)

Tool	Category	Description
add_documents	data	Add or update documents in an index
list_indexes	discovery	List all indexes in the Meilisearch instance
create_index	management	Create a new search index in Meilisearch
update_settings	management	Update index settings like searchable attributes and ranking rules
manage_keys	management	Create, list, and manage Meilisearch API keys
monitor_tasks	monitoring	Monitor the status of asynchronous indexing tasks
search	query	Perform a search query with filters, facets, and sorting
get_documents	query	Retrieve documents from an index by ID or filter
multi_search	query	Search across multiple indexes in a single request

⚡ Installation

Prerequisites:

• python v3.10+
• Meilisearch instance with API key
• API key required

Check Claude Code documentation to configure this MCP server.

💡 Tips & tricks

Set MEILI_HTTP_ADDR and MEILI_MASTER_KEY environment variables to connect. Start with list_indexes to see your current setup. Use create_index and add_documents to populate data, then test with search. The multi_search tool is powerful for querying across multiple indexes simultaneously.

🔄 Alternatives

elasticsearch-mcp-server

MCP server — editorial content pending

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