"Pine Script v6 Python integration or comparison" matching MCP servers:

A Model Context Protocol (MCP) server for comprehensive monitoring and observability of systems using Langfuse.

Enables interaction with CCTV recording systems (VMS) to retrieve live and recorded video streams, control cameras with PTZ presets, and manage playback dialogs for specific channels and timestamps.

Enables real-time system monitoring and automation through MCP protocol with SSE transport, integrating with n8n workflows to check system health, query logs, and retrieve metrics from ABC system APIs. Supports natural language queries in Vietnamese and English for seamless system administration.

Enables analysis of AI agent traces to detect and fix failures using heuristic detectors, with no LLM calls required.

A security-hardened, read-only MCP server that authenticates service and user identities, enforces factory-level access grants, and audit-logs every tool call before dispatching read-only plant overview queries.

MCP server for Pi-hole v6 that enables management of blocklists, DNS blocking, domain allow/deny lists, and query diagnostics through natural language.

An MCP server for managing Pi-hole v6 DNS filtering and ad-blocking. It provides tools for monitoring statistics, controlling blocking, managing domain lists, and performing maintenance operations through a unified interface.

Enables AI assistants to query and manage Pi-hole v6 DNS ad-blocker instances, including logs, allow/deny lists, groups, and stats. Supports multiple Pi-hole instances from a single endpoint.

Website health checker MCP server - SEO audit, accessibility scan, broken link detection, performance analysis, and page comparison.

24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.

Java profiling with AI agent integration. Profile CPU, memory, JDBC, HTTP and more.

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.

A unified CLI, web dashboard, and Python API for SLURM job management.

MCP server for profiling Python processes using py-spy, supporting flamegraphs, stack dumps, and performance comparisons.

Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.

Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.

Unified MCP safety server that detects prompt injection (75 patterns), scans LLM outputs for leaked secrets/PII, enforces API cost budgets, and creates signed audit trails. Zero ML dependencies, pure Python.

Enables LLMs to analyze Linux perf data files using 26 perf analysis commands, including report, script, annotate, and more, through typed tool parameters.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Provides advanced, programmable access to Zabbix monitoring data and management features, enabling querying, automation, and integration of Zabbix resources.