-
security-
license-
qualityA Model Context Protocol server that enables Large Language Models like Claude to query New Relic logs and metrics using NRQL queries.
Last updated -
2
Python
Search for:
Why this server?
Enables Large Language Models like Claude to query New Relic logs and metrics using NRQL queries, which could be useful for analyzing OpenSearch data if it's integrated with New Relic.
Why this server?
A Model Context Protocol server that enables querying and analyzing Wazuh security logs stored in OpenSearch, with features for searching alerts, generating statistics, and visualizing trends.
Why this server?
A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language. This could be useful if OpenSearch data can be ingested into Elasticsearch.
Why this server?
Provides a Model Context Protocol interface for accessing Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting. This could be useful if OpenSearch data is compatible with Elasticsearch 7.x.
Why this server?
A Model Context Protocol server for data wrangling that provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics; can help prepare the data for analysis.
Why this server?
A Model Context Protocol server for data wrangling that provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics; can help prepare the data for analysis.
Why this server?
A Model Context Protocol server providing read-only access to MySQL databases, enabling LLMs to inspect database schemas and execute read-only queries. If OpenSearch data can be exported to MySQL this could be used.
Why this server?
A demo server that provides code review and security analysis capabilities, which can be used to analyze the security posture of OpenSearch data pipelines.