MCP For Claude Marketplace
Meilisearch

Meilisearch MCP Connector for Claude

A+

Manage your Meilisearch instance — handle indexes, documents, and search configurations directly from your AI agent.

44 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Meilisearch instance to any AI agent to automate your search engine management and data indexing workflows.

What you can do

  • Index Management — Create, list, update, and delete indexes. Perform atomic swaps between indexes for zero-downtime deployments.
  • Document Operations — Add, update, or replace documents in bulk. Retrieve specific documents by ID or list them with advanced filtering and sorting.
  • Granular Deletion — Remove documents individually, in batches, or by applying complex filter expressions to clean up your data.
  • Metadata Inspection — Fetch detailed metadata for your indexes and documents to monitor your search engine's state.

How it works

  1. Subscribe to this server
  2. Enter your Meilisearch Instance URL and API Key
  3. Start managing your search data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Developers — Index new data or debug search results directly from the code editor.
  • Data Engineers — Automate index maintenance and document synchronization tasks.
  • Content Managers — Quickly verify if specific content is correctly indexed without using a dedicated dashboard.
search-engineindexingfull-text-searchmeilisearchapi-management

44 tools expose this connector's capabilities to your AI agent.

add_documents

Add or replace documents in an index

cancel_tasks

Cancel pending or processing tasks

chat_completion

Request a chat completion from a workspace

configure_experimental_features

Enable or disable experimental features

create_dump

Trigger the creation of a Meilisearch dump

create_index

Create a new index

create_key

Create a new API key

create_snapshot

Trigger the creation of a Meilisearch snapshot

delete_all_documents

Delete all documents in an index

delete_document

Delete a single document

delete_documents_batch

Delete multiple documents by ID

delete_documents_by_filter

Delete documents matching a filter

delete_dynamic_search_rule

Delete a dynamic search rule

delete_index

Delete an index

delete_key

Delete an API key

delete_tasks

Delete finished tasks

get_batch

Get details of a specific batch

get_document

Get a specific document by ID

get_health

Check the health of the Meilisearch instance

get_index_stats

Get stats of a specific index

get_index

Get metadata for a specific index

get_key

Get details of a specific API key

get_settings

Get all settings of an index

get_stats

Get stats of all indexes and database size

get_task

Get details of a specific task

get_version

Get the version of the Meilisearch instance

list_batches

List task batches

list_chats

List chat workspaces

list_documents

List documents in an index

list_dynamic_search_rules

List dynamic search rules for an index

list_experimental_features

List the status of experimental features

list_indexes

List all Meilisearch indexes

list_keys

List API keys

list_tasks

List asynchronous tasks

multi_search

Perform multiple search queries in a single call

reset_settings

Reset all settings of an index to defaults

search_documents

Search for documents in an index

set_dynamic_search_rule

Create or update a dynamic search rule

similar_documents

Find documents similar to a given document ID

swap_indexes

Swap multiple indexes atomically

update_documents

Add or update documents (partial update)

update_index

Update an index primary key

update_key

Update an API key name or description

update_settings

Update settings of an index

See how to talk to your AI agent using Meilisearch.

List all my Meilisearch indexes and their primary keys.

I've retrieved your indexes. You have 3 active indexes: 'movies' (primary key: 'id'), 'books' (primary key: 'isbn'), and 'products' (primary key: 'sku').

Add these three product documents to the 'products' index: [JSON data].

I've initiated the document addition for the 'products' index. The task has been enqueued with UID 452. You can check the status to confirm when the indexing is complete.

Get the document with ID 'prod_99' from the 'products' index, but only show the 'name' and 'price' fields.

Here is the requested document from 'products': { "name": "Wireless Headphones", "price": 99.99 }.

Yes! You can use the `delete_documents_by_filter` tool. Just provide the index UID and a filter expression (e.g., 'category = electronics') to remove all matching documents at once.

Related Connectors

SG

Storm Glass Marine & Weather MCP

3 tools Official

Universal marine and weather intelligence — get global wave, tide, and bio data via AI.

A+ View details →
NI

Nimbleway MCP

10 tools Official

Web data collection and scraping via Nimbleway — extract content and search the web directly from your AI agent.

A+ View details →
FS

Feature Scaler Engine MCP

1 tools Official

Standardize (Z-Score) or MinMax scale numeric columns with mathematical perfection local. Essential normalization for neural networks and clustering algorithms.

A+ View details →
ME

Mews MCP

12 tools Official

Manage hotel reservations, guests, rooms, billing, housekeeping, and services for your Mews property through natural conversation.

A+ View details →