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    Enables retrieval of error stack traces by transaction ID from OpenSearch logs, supporting configurable connection settings and Docker deployment.
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    Software end-of-life intelligence for AI agents: EOL dates, support timelines and 0-100 upgrade risk scores for 480+ products. Check whether a version is still supported, score its risk, or audit an entire stack.
    5
    MIT
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    Enables AI to dynamically search, describe, and execute 2000+ ZStack Cloud APIs, plus query monitoring metrics and data.
    6
    11
    MIT
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    MCP server for profiling Python processes using py-spy, supporting flamegraphs, stack dumps, and performance comparisons.
    6
    1
    MIT
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    MCP server for integrating self-hosted Sentry with AI assistants, enabling project and issue listing, issue details with stack traces, and event retrieval.
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    MIT
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    MCP server for self-hosted Sentry instances, providing tools to query and triage issues and events, inspect stack frames, manage releases, and access raw Sentry API.
    24
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    8
    MIT
  • A
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    MCP server for Langfuse that lets Claude Code create projects, manage API keys, and query traces without touching the web UI. Designed to work with a self-hosted Langfuse v3 stack running locally via Docker Compose.
    20
    MIT
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    23 pay-per-call web analysis APIs as MCP tools. Security audits, tech stack detection, email verification, SEO analysis, SSL checks, performance monitoring. Supports x402 and Stripe MPP payments.
    62
    6
    MIT
  • A
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    Analyzes application crash dumps and extracts debug symbols, transforming Windows minidump files into readable stack traces and providing AI-powered crash analysis to help identify root causes and fix critical issues.
    8
    MIT
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    Monitors development commands and exposes terminal output to Claude in real-time, allowing AI assistants to see errors, logs, and stack traces without copy-pasting.
    6
    3
    MIT
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    A FastMCP-based tool for analyzing logback log files to detect code defects and generate automated fix suggestions. It features intelligent stack trace filtering and token optimization to efficiently identify and resolve application errors.
    MIT
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    Enables comprehensive management of Tailscale networks including device management, DNS configuration, file sharing via Taildrop, security monitoring, and network automation with built-in Grafana/Prometheus observability stack.
    4
    MIT