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"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

  • F
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    A secure MCP proxy server with JWT authentication, SQL guardrails, rate limiting, and Kafka audit logging, enabling enterprise-grade access control for MCP clients like Cursor and Claude Desktop.
  • A
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    A
    maintenance
    The policy enforcement plane for MCP: deterministic admission and egress policy, attributable audit, and SIEM export for your MCP server fleet. Self-hosted and MIT licensed.
    22
    14
    MIT
  • A
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    Model Context Protocol (MCP) Server for Vunet vuSmartMaps - A multi-tenant observability platform integration. Query metrics, traces, logs, and data models from your Vunet tenants using natural language through AI assistants like Claude, GitHub Copilot, or any MCP-compatible client.
    4
    46
    MIT
  • F
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    quality
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    Enables AI assistants to autonomously investigate and manage Sophos Channel Server incidents by connecting via SSH, checking Zabbix alerts, searching Jira, pattern matching known root causes, and creating LINFRA tickets.
    10
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    This project provides a Model Context Protocol (MCP) server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API.
    2
    4
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Enables MCP clients to query an organization's Traceorb telemetry data through the same GETs the panel uses, using a read key for authentication.
    10
    MIT
  • A
    license
    C
    quality
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    A specialized diagnostic framework that enables AI models to self-diagnose and fix MCP-related issues by analyzing logs, validating configurations, testing connections, and implementing solutions.
    9
    MIT
  • A
    license
    D
    quality
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    An MCP interface that allows AI assistants to query and analyze Grafana Loki logs using LogQL, with support for authentication and various output formats.
    3
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    5
    MIT
  • A
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    quality
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    A Model Context Protocol (MCP) server for the Pingera monitoring service, providing seamless integration between AI models and monitoring data.
    1
    MIT
  • A
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    quality
    C
    maintenance
    Enables managing incident response workflows including incidents, on-call, postmortems, and more through the Runframe platform using MCP tools.
    86
    4
    MIT
  • A
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    Connects AI coding assistants to Shipbook for investigating issues using real application logs with error classification, log search, and session tracing.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A read-only MCP server for the Auralogs logging platform, enabling AI agents to query production logs, search errors, and retrieve AI analyses without write access. It allows you to ask your coding assistant 'what's broken in production right now?' by connecting to your logs via a simple bearer auth key.
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    Enables interaction with Sentry's error tracking and monitoring tools through a unified API, allowing natural language access to Sentry services.
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Enables AI assistants to analyze Windows WPR/ETW traces (.etl files) using natural language queries, with features like auto-summary, CPU sampling, DPC/ISR analysis, and symbol resolution.
    7
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides comprehensive monitoring and observability for MCP server ecosystems with real-time health checks, performance metrics, distributed tracing, anomaly detection, and automated performance reports using OpenTelemetry and Prometheus.
    1
    MIT