"How to check console logs and network activity" matching MCP servers:

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.

Read-only MCP server for aggregate HitKeep analytics and official documentation, including traffic, events, goals, funnels, ecommerce, Search Console, and AI visibility reporting.

Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.

Enables AI assistants and LLMs to query SigNoz observability data (metrics, traces, logs, alerts, dashboards) using natural language.

MCP Server for Kubernetes Audit Logs.

Enables an assistant to work inside gitlab.com projects as the signed-in user: issues, merge requests, code reviews, repositories, CI pipelines and job logs, plus optional gated toolsets for wiki, snippets, releases, planning, deployments and activity. It authenticates through a user-supplied OAuth application with the token kept in the OS keyring, and registers only the tools that are switched on.

Enables OAuth-authenticated access to Garmin account data through MCP, with a read-only web dashboard for monitoring account connections and activity.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

MCP server that exposes live host metrics (CPU, memory, processes, network) to Cursor/Claude via /proc and optional eBPF, enabling system monitoring dashboards and natural language queries.

MCP server for Reddit that fetches full comment threads and compresses them into compact tab-delimited format, reducing token usage by up to 94% vs JSON. Supports subreddit feeds, multi-subreddit search, user activity, and OAuth for higher rate limits.

Manages multiple development services with colored logs, filtering, and MCP integration for Claude Code.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

AI code reviews and git activity digests with machine-readable risk scoring, available as an MCP server for use within an agent session.

Enables AI assistants to interact with DataDog's observability platform through a standardized interface. Supports monitoring infrastructure, managing events, analyzing logs and metrics, and automating operations like alerts and downtimes.

Isolated Docker sandboxes for MCP servers. Read-only root, zero capabilities, network-none by default.

MCP server for browser debugging, inspection, and verification that streams console logs, network errors, and user actions into AI coding assistants.

Provides comprehensive access to the New Relic observability platform through 55 MCP tools, enabling APM, infrastructure, logs, traces, alerts, dashboards, synthetics, workflows, notifications, service levels, tags, entities, and workloads via a single GraphQL endpoint.

Enables AI assistants to manage network devices via gNMI protocol, including querying capabilities, reading/modifying configurations, and subscribing to telemetry data through natural language.