"How to Trade on E*TRADE" matching MCP servers:

这是面向智能运维场景的 MCP 工具服务，让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程，从而支撑自动故障排查与根因分析。

An MCP server that gives Claude direct access to TradersPost webhook trading. Send trade signals, inspect strategy configs, query trade history, and monitor positions.

An MCP server for the ProveTrade trade-audit stack that lets models validate CSVs, run paid audit runs, and check service health/deploy status via typed tools.

Enables SEO audits and URL monitoring via the SEO Radar API from any MCP-compatible AI client.

Provides access to Grips Intelligence e-commerce analytics data through Model Context Protocol. Enables querying domain performance metrics, channel breakdowns, ad spend data, and device analytics for e-commerce businesses.

Exposes N-able N-central REST API as MCP tools for managing devices, organizations, users, and more, with support for read-only, write, and full write modes.

Real-time supply chain risk intelligence with 25 tools: Global Disruption Index, Manufacturing Index, commodity prices, port congestion, border delays, chokepoints, air cargo, trade policy, energy, rail, freight, economic indicators, predictive signals, and AI intelligence briefs.

Enables recording and querying MCP tool call traces, including latency, failures, and token costs, per agent run.

Enables recording a Wine or macOS program on an Apple silicon Mac and analyzing its GPU usage — GPU milliseconds per frame, frame pacing, FPS and memory — through Instruments' Metal System Trace, and also reads Metal .gputrace captures without Xcode and reports Apple's published GPU family facts. Recording, listing, comparing, and paging through traces and captures are exposed as tools that a shell or an AI coding agent can call directly.

Enables local-first observability for MCP agent workflows by recording tool calls, prompts, latency, and token usage in a local SQLite database, and provides tools for inspecting, comparing, exporting, and generating dashboards from traces.

Analyzes AI agent traces to diagnose failures, score performance, and provide actionable fixes using tools like judge_trace and trace_breakdown.

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.

Provides read-only on-demand ServiceNow reports for system logs (syslog) and developer work (update set changes), with automatic pagination and date filtering.

远程MCP服务，通过Model Context Protocol为AI应用提供阿里云数万个OpenAPI的无缝集成，支持Terraform、多账号、自定义OAuth等能力。

Enables sportsbook operators to run an entire ARENA360 account in plain language, covering TRADE ordering and configuration, DEFEND risk controls, ENGAGE content and Coverage Hub, and BOOST benchmarking of coverage, uptime and margin. Every write is displayed and approved by an operator before it is applied, with read and write access for modules that expose tools.

Enables AI agents to browse N-able N-central RMM data such as org unit hierarchies, devices, assets, lifecycle and service status, active issues, scheduled tasks, custom properties, maintenance windows and access groups. On explicit request it also performs writes — running scripts or automation policies on a device, changing custom properties or lifecycle data, adding or deleting maintenance windows, and creating device or org unit access groups.

Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.

Enables tracing of synthetic events through a toy Redis Streams + Postgres ingestion pipeline, answering questions about which events were dropped, duplicated, delayed, or are in flight, plus overall pipeline health. It also supports first-class fault injection and reconciles observed pipeline state against independently recorded producer ground truth to expose real loss or silent failures.

Provides structured MCP tools for local runtime observability and debugging of React Native/Expo apps on Android, enabling evidence-first diagnostics such as screenshots, UI trees, per-request network capture, performance metrics, and CDP-based console/heap/profiling exports.