"Using an MCP server to generate structured ADK agents" matching MCP servers:

Enables MCP-compatible clients to search approved local Markdown runbooks, retrieve selected local host health details, and get bounded Kubernetes pod-status summaries for allowlisted clusters and namespaces.

MCP server that reports AI agent costs (tokens, latency, dollars) with per-tenant isolation via OAuth, and includes an ADK agent for natural-language queries.

Data observability for AI agents. Query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 MCP tools.

MCP server that wraps Nightjar's analytics API, enabling Claude Code to query events, funnels, dashboards, and metrics through natural language.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Gives your AI assistant full control of a Discord server: 148 tools for chat, moderation, automod, events, and administration, up to building a complete community server from one paragraph. Every destructive action previews first and waits for your confirmation.

Enables AI agents to profile iOS/macOS apps using Xcode Instruments, automate simulator interactions, and get structured performance data for optimization.

An MCP server that enables LLMs to retrieve structured network information, including routing, interfaces, MPLS, and topology, from devices using gNMI and OpenConfig models. It facilitates real-time network analysis, log filtering, and status monitoring through a standardized interface.

MCP Server for notify to telegram / weixin

Provides an append-only event ledger with MCP tools for workspaces to report completion receipts, query recent events, generate situation reports, and track focus changes.

Enables coding agents to inspect Databricks job runs, query plans, stage behavior, and cluster bottlenecks using real execution evidence. Provides structured analysis with customizable pattern rules and thresholds for diagnosing Spark performance issues.

An open-source MCP server that collects errors from browser console and terminal, then uses OpenRouter's free AI models to generate summaries for AI agents.

Analyzes log files locally using Ollama and files structured GitHub Issues automatically, with all processing kept on your machine.

An MCP server that gives agents structured read and limited write access to PM2 services.

Enables AI agents to read-only query an MSP's Action1 data — organizations, managed endpoints, missing OS and third-party updates, and scheduled automations — using per-request credentials that are never stored. Supports multi-tenant, stateless access over Streamable HTTP with paginated list results and structured error responses.

Connects Claude to the Google AdMob API to provide a conversational interface for managing and analyzing ad revenue data. It enables users to generate custom network reports, track performance trends, and diagnose revenue fluctuations using natural language.

Enables LLMs to autonomously query AWS CloudWatch Logs and perform structured root-cause analysis via natural language prompts, using MCP tools for log group listing and Insights queries.

An AI-powered server that analyzes system log files to identify errors/warnings and recommend fixes using FastMCP, LangGraph ReAct agents, and Anthropic Claude.

Real-time conversation health monitor for AI agents that tracks structural dynamics like semantic drift and information gain using deterministic arithmetic, without calling an LLM.

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.