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meilisearch-MCP
Un serveur de protocole de contexte de modèle (MCP) pour interagir avec MeiliSearch via des interfaces LLM.
3 years
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2
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Meilisearch MCP Server
A Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces like Claude.
Features
- Index and document management
- Settings configuration and management
- Task monitoring and API key management
- Built-in logging and monitoring tools
- Dynamic connection configuration to switch between Meilisearch instances
- Smart search across single or multiple indices
- This is a Python implementation, there is Typescript integration if you need to work with a Meilisearch MCP server within the browser
Installation
# Clone repository
git clone <repository_url>
cd meilisearch-mcp
# Create virtual environment and install
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install -e .
Requirements
- Python ≥ 3.9
- Running Meilisearch instance
- Node.js (for testing with MCP Inspector)
Usage
Environment Variables
MEILI_HTTP_ADDR=http://localhost:7700 # Default Meilisearch URL
MEILI_MASTER_KEY=your_master_key # Optional: Default Meilisearch API key
Dynamic Connection Configuration
The server provides tools to view and update connection settings at runtime:
-
get-connection-settings
: View current connection URL and API key status -
update-connection-settings
: Update URL and/or API key to connect to a different Meilisearch instance
Example usage through MCP:
// Get current settings
{
"name": "get-connection-settings"
}
// Update connection settings
{
"name": "update-connection-settings",
"arguments": {
"url": "http://new-host:7700",
"api_key": "new-api-key"
}
}
Search Functionality
The server provides a flexible search tool that can search across one or all indices:
-
search
: Search through Meilisearch indices with optional parameters
Example usage through MCP:
// Search in a specific index
{
"name": "search",
"arguments": {
"query": "search term",
"indexUid": "movies",
"limit": 10
}
}
// Search across all indices
{
"name": "search",
"arguments": {
"query": "search term",
"limit": 5,
"sort": ["releaseDate:desc"]
}
}
Available search parameters:
-
query
: The search query (required) -
indexUid
: Specific index to search in (optional) -
limit
: Maximum number of results per index (optional, default: 20) -
offset
: Number of results to skip (optional, default: 0) -
filter
: Filter expression (optional) -
sort
: Sorting rules (optional)
Running the Server
python -m src.meilisearch_mcp
Usage with Claude Desktop
To use this with Claude Desktop, add the following to your claude_desktop_config.json
:
{
"mcpServers": {
"meilisearch": {
"command": "uvx",
"args": ["-n", "meilisearch-mcp"]
}
}
}
Testing with MCP Inspector
npx @modelcontextprotocol/inspector python -m src.meilisearch_mcp
Available Tools
Connection Management
-
get-connection-settings
: View current Meilisearch connection URL and API key status -
update-connection-settings
: Update URL and/or API key to connect to a different instance
Index Management
-
create-index
: Create a new index with optional primary key -
list-indexes
: List all available indexes -
get-index-metrics
: Get detailed metrics for a specific index
Document Operations
-
get-documents
: Retrieve documents from an index with pagination -
add-documents
: Add or update documents in an index
Search
-
search
: Flexible search across single or multiple indices with filtering and sorting options
Settings Management
-
get-settings
: View current settings for an index -
update-settings
: Update index settings (ranking, faceting, etc.)
API Key Management
-
get-keys
: List all API keys -
create-key
: Create new API key with specific permissions -
delete-key
: Delete an existing API key
Task Management
-
get-task
: Get information about a specific task -
get-tasks
: List tasks with optional filters:-
limit
: Maximum number of tasks to return -
from
: Number of tasks to skip -
reverse
: Sort order of tasks -
batchUids
: Filter by batch UIDs -
uids
: Filter by task UIDs -
canceledBy
: Filter by cancellation source -
types
: Filter by task types -
statuses
: Filter by task statuses -
indexUids
: Filter by index UIDs -
afterEnqueuedAt
/beforeEnqueuedAt
: Filter by enqueue time -
afterStartedAt
/beforeStartedAt
: Filter by start time -
afterFinishedAt
/beforeFinishedAt
: Filter by finish time
-
-
cancel-tasks
: Cancel pending or enqueued tasks -
delete-tasks
: Delete completed tasks
System Monitoring
-
health-check
: Basic health check -
get-health-status
: Comprehensive health status -
get-version
: Get Meilisearch version information -
get-stats
: Get database statistics -
get-system-info
: Get system-level information
Contributing
- Fork repository
- Create feature branch
- Commit changes
- Create pull request
License
MIT
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Reviews

user_Gq8qIrgg
Meilisearch-MCP is an outstanding tool for developers looking for a seamless and efficient search experience. As a loyal user, I appreciate its speed, ease of integration, and powerful search capabilities. Meilisearch truly exceeds expectations in performance and usability, making it an indispensable part of my development toolkit. Highly recommend checking it out on GitHub!