"mcp server 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.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

Enables safe, read-only interaction with Kubernetes clusters, allowing users to list resources and fetch logs without any create/update/delete operations.

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

Etch is a signed audit chain for AI agent decisions, offline-verifiable against pinned public keys.

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

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.

Monitors macOS pasteboard activity, recording clipboard generations and exposing event history, declared UTIs, and flavor fetch/paste-test tools via an MCP server. Enables AI agents to diagnose clipboard-transfer issues across machines by comparing what each side saw.

Enables AI assistants to query IP Fabric network inventory and snapshots through natural language, using tools to fetch devices, interfaces, routing tables, and more.

Enables administrators to enforce configured URL reputation checks and result scanning on selected MCP fetch tools, refusing disallowed, malformed, or unscannable traffic before it reaches the model. It also supports HMAC-signed ToolHive request validation webhooks for fail-closed policy enforcement.

Exposes server-management and operational data to MCP-aware clients and AI agents, providing tools to search servers, fetch metrics and system stats, and create or retrieve alerts.

MCP server for querying structured logs from Datalust Seq, providing tools to search logs, retrieve recent errors, fetch events, and check health.

Enables AI assistants to query and fetch error and performance monitoring data from AppSignal through the Model Context Protocol. Supports searching and retrieving detailed information about application errors and performance samples with flexible filtering options.

Read-only MCP server for TraceFact that lets agents list trace runs, fetch run details, and retrieve reliability reports from a local store.

Enables SRE operations through natural language, providing tools to query SLO status, fetch runbooks, query alerts, and manage incidents with audit logging and latency tracking.