elasticsearch-mcp
# elasticsearch-mcp
An MCP (Model Context Protocol) server for Elasticsearch clusters. Enables AI assistants like Claude to search, analyze, and interact with Elasticsearch through natural language.
[](https://badge.fury.io/py/elasticsearch-mcp)
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/Apache-2.0)
## Features
- **Natural Language Search**: Ask Claude about your data in plain English
- **Index Discovery**: Explore indices, mappings, and field types
- **Search & Aggregations**: Full Query DSL and aggregation support
- **Document Operations**: Read, index, update, and delete documents
- **Data Export**: Export search results to JSON or CSV
- **Knowledge Persistence**: Claude remembers what it learns about your cluster
- **Safety Controls**: Read-only mode, index blocking, result limits
- **Connection Watchdog**: Automatic recovery from hung connections
- **OAuth Integration**: Deploy as a Claude.ai Custom Connector with SSO
## Quick Start
### 1. Install
```bash
pip install elasticsearch-mcp
```
### 2. Configure Claude Desktop
Edit your Claude Desktop config file:
**macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows:** `%APPDATA%\Claude\claude_desktop_config.json`
```json
{
"mcpServers": {
"elasticsearch": {
"command": "elasticsearch-mcp",
"env": {
"ES_HOST": "https://your-cluster.es.example.com:9200",
"ES_API_KEY": "your-api-key",
"ES_READ_ONLY": "true"
}
}
}
}
```
### 3. Restart Claude Desktop
Quit and reopen Claude Desktop. You'll see a hammer icon indicating tools are available.
### 4. Start Chatting
Ask Claude about your Elasticsearch data:
> "What indices are available?"
> "Search for errors in the logs index from the last hour"
> "Show me the top 10 users by request count"
> "Describe the mappings for the customers index"
## Documentation
| Guide | Description |
|-------|-------------|
| [Installation](docs/installation.md) | Complete installation guide |
| [Configuration](docs/configuration.md) | All configuration options |
| [Tools Reference](docs/tools.md) | Detailed tool documentation |
| [Usage Examples](docs/examples.md) | Common usage patterns |
| [OAuth Setup](docs/oauth.md) | Claude.ai integration with SSO |
## Available Tools
### Connection & Cluster
| Tool | Description |
|------|-------------|
| `connect` | Connect to the cluster |
| `disconnect` | Close connections |
| `cluster_health` | Get cluster health status |
| `cluster_info` | Get cluster version and info |
### Index Operations
| Tool | Description |
|------|-------------|
| `list_indices` | List all indices |
| `describe_index` | Get index mappings and settings |
| `get_index_stats` | Get index statistics |
### Search & Query
| Tool | Description |
|------|-------------|
| `search` | Execute Query DSL search |
| `search_simple` | Simple query string search |
| `count` | Count matching documents |
| `get_document` | Get document by ID |
### Aggregations
| Tool | Description |
|------|-------------|
| `aggregate` | Run aggregation queries |
| `terms_aggregation` | Quick terms aggregation |
| `date_histogram` | Time-based aggregations |
### Document Operations
| Tool | Description |
|------|-------------|
| `index_document` | Create/update document |
| `update_document` | Partial document update |
| `delete_document` | Delete document |
### Export & Knowledge
| Tool | Description |
|------|-------------|
| `export_to_json` | Export results to JSON |
| `export_to_csv` | Export results to CSV |
| `save_knowledge` | Save learned information |
| `get_all_knowledge` | Retrieve saved knowledge |
## Configuration
### Required Variables
| Variable | Description |
|----------|-------------|
| `ES_HOST` | Elasticsearch host URL |
### Authentication (choose one)
| Variable | Description |
|----------|-------------|
| `ES_API_KEY` | API key authentication |
| `ES_USERNAME` + `ES_PASSWORD` | Basic authentication |
| `ES_CLOUD_ID` | Elastic Cloud ID |
### Safety Settings
| Variable | Default | Description |
|----------|---------|-------------|
| `ES_READ_ONLY` | `false` | Block all write operations |
| `ES_MAX_RESULTS` | `1000` | Maximum results per query |
| `ES_BLOCKED_INDICES` | `.security*,...` | Indices to hide |
## Deployment Modes
### Local (Default)
```bash
elasticsearch-mcp
```
### HTTP/SSE Server
```bash
elasticsearch-mcp --http --host 0.0.0.0 --port 8080
```
### Streamable HTTP (Claude.ai)
```bash
elasticsearch-mcp --streamable-http --host 0.0.0.0 --port 8080
```
## Development
```bash
# Clone repository
git clone https://github.com/bpamiri/elasticsearch-mcp.git
cd elasticsearch-mcp
# Install with dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Lint and format
ruff check .
ruff format .
# Type check
mypy src/
```
## Security
- API keys and passwords are never logged
- Configurable index blocklist
- Optional read-only mode
- Result size limits
- Query validation
## License
Apache-2.0. See [LICENSE](LICENSE) for details.
## Links
- [PyPI Package](https://pypi.org/project/elasticsearch-mcp/)
- [GitHub Repository](https://github.com/bpamiri/elasticsearch-mcp)
- [Issue Tracker](https://github.com/bpamiri/elasticsearch-mcp/issues)
- [MCP Documentation](https://modelcontextprotocol.io/)
TDQS
Scored across 18 tools
Each tool has a clearly distinct purpose. Aggregation tools are differentiated by type (general, date histogram, terms), search tools by query language, and cluster/index/document operations cover separate concerns without overlap.
All tool names follow a consistent snake_case convention with descriptive verb-noun patterns (e.g., list_indices, get_document, search_simple), making them predictable and easy to navigate.
18 tools is appropriate for an Elasticsearch MCP server, covering connection, cluster, indices, documents, search, and aggregations without being excessive or insufficient.
The tool set lacks fundamental CRUD operations for indices (create, delete, update) and documents (create, update, delete), leaving significant gaps for basic data management tasks.