"Adding functionality to large language models" matching MCP servers:

Enables users to generate and execute InfluxDB queries using natural language commands in Korean. Supports querying metrics like CPU usage, memory status, and system monitoring data through conversational interface.

aimdb-mcp provides an MCP server implementation that enables Large Language Models to interact with running AimDB instances for introspection, debugging, and monitoring.

A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.

An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing history, and productivity patterns.

MCP Server for notify to telegram / weixin

A Model Context Protocol server that enables Large Language Models like Claude to query New Relic logs and metrics using NRQL queries.

Allows AI models to query and retrieve analytics data from Plausible Analytics through the Plausible API, enabling natural language interactions with website statistics.

Enables interaction with Datadog APIs through automatically generated tools from Postman collections. Supports monitoring operations, log management, metrics submission, and other Datadog functionality through natural language.

Enables large language models to directly access Tencent Cloud Log Service for log search, metric queries, and alarm management without code.

An MCP server that enables Large Language Models to retrieve, analyze, and query metric data from Prometheus databases through pre-defined routes.

Enables MCP-capable applications to access, manage, and analyze system core dumps through integration with systemd-coredump functionality.

Enables VMware vCenter management via MCP, adding real-time and historical performance monitoring, VM lifecycle operations, snapshots, ISO mounting, and network/host management through natural language.

Archived MCP server for PostgreSQL health monitoring; functionality merged into pg-dash.

Enables benchmarking of Large Language Model APIs by measuring performance metrics such as generation throughput, prompt throughput, and Time To First Token (TTFT) with configurable concurrency levels and parameters.

A production-ready Model Context Protocol (MCP) server for seamless integration between Wazuh SIEM and Large Language Models (LLMs).

A Model Context Protocol (MCP) server that integrates with the MISP (Malware Information Sharing Platform) to provide threat intelligence capabilities to Large Language Models.

An MCP server that enables Claude and other MCP clients to interact with Mattermost workspaces, providing channel management, messaging capabilities, and topic monitoring functionality.

Enables MCP clients to inspect Google Play releases, reviews, Android vitals, and scoped bulk reports, and to prepare explicitly authorized changes using locally supplied service-account credentials. Reads are default, while optional writes and sensitive reads require explicit configuration and single-use execution.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.