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qualityA Model Context Protocol server that enables Large Language Models like Claude to query New Relic logs and metrics using NRQL queries.
Last updated -
13
Python
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Why this server?
This server allows querying New Relic logs and metrics using NRQL queries, which can provide the live server metrics (CPU, latency, region, etc.) needed from an AWS environment.
Why this server?
This server allows running SQL queries with AWS Athena to access data available from AWS Glue catalog, which is helpful for querying data logged in AWS services.
Why this server?
This server can query and interact with Kubernetes environments monitored by Metoro, providing APM, metrics, traces, and profiling information which is useful for monitoring server performance.
Why this server?
This configuration tool allows converting HTTP APIs into MCP tools. This could be used to create a MCP server for custom traffic stats endpoints.
Why this server?
This server provides access to ACI.dev managed functions (tools), useful for creating custom integrations for data logging and decision-making processes.
Why this server?
Provides read-only access to MySQL databases, which could be useful for accessing logged data and potentially routing decisions.
Why this server?
Enables natural language interaction with Couchbase databases, useful if you're using Couchbase to store server metrics or routing data.
Why this server?
Enables LLMs to perform statistical analysis and generate ML predictions on user data, which aligns with using ML models for routing decisions.
Why this server?
Provides a generic ODBC interface to any DBMS, which is useful for connecting to a wide array of databases for logging or data-driven routing.
Why this server?
Provides SQLAlchemy connectivity to any DBMS accessible via SQLAlchemy which enables connection to wide variety of databases.