"Signal" matching MCP servers:

Enables read-only API incident triage through MCP tools that classify HTTP failures, timeouts, slow responses, rate limits, and missing observations, and inspect configured public service endpoints, producing structured and human-readable incident reports.

Enables ChatGPT to list, create, update, pause, resume, and delete monitoring items in Signal Desk via OAuth-protected MCP tools, with support for periodic execution and Web Push notifications.

Real-time crypto volume anomaly detection across 50+ tokens. Provides market scanning, signal analysis, and portfolio management capabilities via MCP protocol.

Provides read-only MCP access to Signal K vessel data for diagnostics, letting clients retrieve allowed self values, discover paths, list plugins, and report capability/security policy without write or control commands.

MCP server for Signal Sciences (Fastly NGWAF) API, providing progressive disclosure and 40+ read-only tools for managing corporations and sites.

Enables evidence-first incident command: investigate outages, analyze evidence, approve simulated responses, verify recovery, and export postmortems through MCP tools.

Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.

A Python MCP server that reduces token usage by ~98% when working with log files by auto-detecting format and stripping noise to return only actionable signal.

al-time AI ecosystem intelligence for agents: 1,250+ classified AI security incidents, API pricing for 26 models across 7 providers, GPU cloud pricing, live provider status and cross-signal company analysis. No API key required.

MCP server that provides 8 tools for Java memory leak investigation: \- Class histograms, GC pressure snapshots, JFR recordings, heap dumps, MAT leak suspects analysis, async-profiler allocation profiles \- Structured confidence-based verdicts (none/low/medium/high) requiring independent signal corroboration \- Designed for use inside Claude Code with two slash commands

Connect engineering metrics, DORA performance, deploy risk scoring, and PR health to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

Enables AI agents to perform observability analysis across Prometheus-compatible metrics and logs without prior vendor knowledge, including signal discovery, entity topology resolution, root-cause analysis, correlation, and capacity forecasting through natural-language anchors.

Enables real-time cryptocurrency price monitoring and intelligent alerts for Deribit exchange through Claude Desktop. Set price alerts using natural language and receive instant Telegram notifications when conditions are met.

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

Enables AI assistants to interact with Netgear Genie cable modems to retrieve hardware status, DOCSIS channel data, RF signal health diagnostics, and event logs, and to perform confirmed modem reboots or log clearing.

Provides AI assistants with local Wi-Fi diagnostics including connection history analysis, live signal sampling, and connectivity diagnosis. It returns findings and verdicts rather than raw data, and runs on Windows, Linux, and macOS without sending data off the machine.

An MCP server that monitors 12 Australian SMB intelligence sources to analyze market signals and provide structured data for content strategy agents. It enables users to track regulatory changes, AI trends, and business data through automated signal grading and Slack integration.