"fetch" matching MCP servers:

An MCP server that fetches remote logs from specified IP addresses via HTTP, with configurable port and log path.

Enables natural language queries of the Chrome UX Report API to fetch Core Web Vitals (LCP, INP, CLS, FCP, TTFB), compare form factors, benchmark pages against site averages, and analyze up to 40 weeks of performance trends.

A locally-hosted MCP (Model Context Protocol) server that gives Claude real tools to debug Docker containers — fetch logs, inspect memory/CPU, and run diagnostic commands inside a container, all from a chat with Claude Desktop.

MCP server wrapping the Akamai mPulse Query API v2 to fetch RUM aggregate data (summaries, histograms, per-minute time series) with loss-free numbers for downstream statistical analysis.

Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.

An MCP server for downloading and reading MGX thinking logs, enabling AI agents to fetch and analyze MGX conversation logs programmatically.

Enables querying Munin RRD time-series data through natural language, with tools to discover hosts/plugins, fetch raw or aggregated metrics, and render graphs.

Enables AI agents to fetch and query network device configurations from Clixon-based or other RESTCONF-capable devices. It provides tools to extract specific configuration sections, such as interfaces and routing, through the Model Context Protocol.

Enables Claude to authenticate with TuringMind cloud, upload code review results, fetch repository context and memory, and submit feedback on identified issues through type-safe tools.

Integrates Honeybadger error tracking with Cursor IDE, allowing developers to fetch, analyze, and troubleshoot application errors directly from their development environment.

Bridges OpenAI Codex with Sentry to automatically fetch, analyze, and fix errors using AI.

Integrates GlitchTip error monitoring with AI assistants, enabling them to fetch, analyze, and debug issues from your GlitchTip instance.

An MCP server that integrates Google Search Console and Google Analytics 4 to provide unified SEO and web traffic analysis. It allows users to fetch search performance data, merge page metrics, and generate automated trend reports or actionable insights through tool calls.

Integrates AppsFlyer analytics data with AI assistants, allowing users to fetch various aggregate data reports from AppsFlyer Pull API with secure authentication.

Integrates GlitchTip error monitoring with AI assistants to fetch, analyze, and debug production errors. It enables users to list issues, retrieve event details, and perform guided triage of application errors through natural language.

Enables interaction with Sentry's error tracking platform to fetch and manage issue details, events, and project information through the Sentry API.

A read-only Kubernetes MCP server that enables developers to inspect app status, view pod events, and fetch container logs from dev clusters without requiring full kubectl access.

Enables LLMs to directly query a Matomo analytics instance, execute reporting methods, fetch historical trends, report metadata, and dynamically generated chart images through typed MCP tools.

A Model Context Protocol server that connects to AppSignal, allowing users to fetch, list, and analyze incident information from their AppSignal monitoring.

Enables Claude to fetch and analyze Meta ad accounts, campaigns, ad sets, ads, and performance insights via the Meta Marketing API.