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    Enables an AI agent to sign in to a user's own Midea air-conditioner cloud account through a local browser page, discover bound devices, read status and capabilities, and send experimental power, temperature, mode and fan-speed controls with a cloud read-back.
    7
    Apache 2.0
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    Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
    20
    97 npm
    88
    MIT
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    Enables AI assistants to deploy and manage hosted apps from git repos, read logs, add Postgres databases and domains, manage API keys and budgets, and send requests to 200+ AI models. Connects over remote Streamable HTTP with OAuth sign-in, so users need no API keys, installs, or local server.
    MIT
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    A security proxy for Neon's MCP server that allows AI agents to create and manage isolated test branches with a default-deny whitelist, provenance gating, and short-lived credentials, while air-gapping production data and master keys.
    MIT
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    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
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    Enables interaction with Azure AI Foundry services for model exploration, deployment, and performance evaluation. It provides tools for managing knowledge bases via AI Search Service, executing fine-tuning jobs, and orchestrating AI agents through natural language.
    MIT
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    Enables AI assistants to generate images using Cloudflare Workers AI models directly through the Model Context Protocol. It supports various models like Flux and Stable Diffusion, providing seamless image generation and storage via Cloudflare R2.
    7
    Apache 2.0
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    Exposes a single HTTP endpoint that aggregates tool definitions from GitHub, Kubernetes, and database namespaces, letting clients list available tools and invoke them by name. It provides health-check, tool-discovery, and tool-call routes for local, read-only experimentation without calling hosted models or applying production changes.
    MIT
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    Enables LLM agents to connect to multi-cloud DevOps control planes for Terraform plan inspection, drift detection and remediation, cost estimation, incident triage, and cloud resource discovery across Azure, AWS, and GCP. It supports autonomous workflows for PR review, FinOps optimization, and self-healing operations through MCP tools.
    MIT
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    An air-gapped, edge-native, deterministic translation layer that ingests raw Dell OpenAPI endpoints, clusters them into high-level workflows using a local offline LLM, and executes them deterministically at runtime via FastMCP and HTTPX.
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