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"Methods to Communicate with AI Platforms: Litellm, GroqAI, and OpenAI" matching MCP servers:

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    A
    quality
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    maintenance
    Exposes the OpenAI Admin API as MCP tools, enabling management of organization members, projects, service accounts, API keys, rate limits, usage, costs, and audit logs through natural language.
    31
    Apache 2.0
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    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.
    167
    Apache 2.0
  • A
    license
    B
    quality
    C
    maintenance
    Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.
    23
    5
    MIT
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    license
    C
    quality
    D
    maintenance
    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
  • F
    license
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    quality
    D
    maintenance
    Unified local MCP AI Gateway that routes across Groq, OpenRouter, Mistral, and local Ollama providers, with OpenAI-compatible APIs, MCP tools, fallback/racing router, monitoring, and web dashboard.
  • A
    license
    A
    quality
    B
    maintenance
    Model Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.
    5
    118
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables LLMs to query telemetry data via the Spyglass AI agent, providing intelligent insights about application performance, errors, and bottlenecks.
    1
    MIT
  • A
    license
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    quality
    B
    maintenance
    Connects AI-powered tools to the Confident AI platform for evaluating, observing, and iterating on AI quality, enabling cloud evaluations, dataset management, prompt versioning, production tracing, and human annotations directly from editors like Cursor and Claude Code.
    2
    MIT
  • A
    license
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    quality
    D
    maintenance
    Enables comprehensive integration with Azure AI services including OpenAI, Cognitive Services, Computer Vision, and Face API through a mission-critical MCP server. Provides enterprise-grade reliability with high availability, observability, chaos engineering, and secure multi-region deployment capabilities.
    MIT
  • A
    license
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    quality
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    maintenance
    Enables natural language analysis of network packet captures, including protocol detection, flow analysis, and security threat identification, integrated with AI assistants.
    3
    MIT
  • A
    license
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    quality
    B
    maintenance
    An MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.
    MIT