Elasticsearch
bysonirico
0Connects AI systems to Elasticsearch clusters through a standardized Model Context Protocol interface.
About
Enables AI assistants and other Model Context Protocol (MCP) clients to seamlessly query Elasticsearch clusters. It provides a standardized interface for interacting with Elasticsearch, offering capabilities like listing indices, retrieving field mappings, and executing complex search queries. By supporting multiple authentication methods and providing structured responses, it facilitates efficient integration with AI-powered applications.
Key Features
- Enables index management (listing indices with health status and document counts)
- Supports API key and username/password authentication
- Allows schema discovery (retrieving field mappings)
- 0 GitHub stars
- Provides JSON-formatted output with search metadata
- Executes advanced Elasticsearch queries with aggregations and sorting
Use Cases
- Integrating Elasticsearch data with AI assistants
- Enabling context-aware search within AI applications
- Querying Elasticsearch clusters from MCP clients
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