Elasticsearch
Enables LLMs to manage indices and execute queries against Elasticsearch clusters.
About
Elasticsearch empowers Large Language Models (LLMs) to interact with Elasticsearch clusters through the Model Context Protocol. It provides a suite of tools for managing indices, executing complex search queries, and indexing documents. By exposing Elasticsearch functionality via a standardized protocol, this server allows LLMs to seamlessly integrate search capabilities into their workflows, retrieve structured data, and perform data analysis.
Key Features
- Executes search queries against indices using Elasticsearch query DSL.
- Lists all available indices within the Elasticsearch cluster.
- Provides mapping information for each index via a dedicated resource endpoint.
- Creates new Elasticsearch indices with customizable mappings and settings.
- Indexes documents into specified indices with optional document ID.
Use Cases
- Integrating Elasticsearch search capabilities into LLM-powered applications.
- Enabling LLMs to perform data analysis and retrieval from Elasticsearch indices.
- Automating index management tasks within an Elasticsearch cluster.
Sponsored