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"Information about SSE (possible meanings: Scottish and Southern Energy, Server-Sent Events, etc.)" matching MCP servers:

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    A server for Model Context Protocol (MCP) that uses Server-Sent Events (SSE) for streaming communication, enabling tools like the HackerNews API to be accessed through a secure HTTP+SSE transport.
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    29
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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Provides access to Danish energy data from Energinet, including real-time electricity spot prices, CO2 emissions, and production mix. It enables users to monitor grid status and identify the most cost-effective hours for energy-intensive tasks.
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    MIT
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    Provides real-time electricity grid data including CO2 intensity, power mix, and wholesale prices, plus optimal green time windows for energy-intensive AI tasks. Supports UK, Germany, and global regions with optional API keys.
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    9
    MIT
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    Implements a Model Context Protocol server using Server-Sent Events for real-time communication with OAuth 2.1 integration via Ory Network, enabling secure AI model communication with authentication and client management.
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    Apache 2.0
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    A FastAPI MCP server that uses Server-Sent Events as a transport layer, providing echo functionality through tools, resources, and prompts.
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    12
    MIT
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    A server that enables interaction with Upbit cryptocurrency exchange API through Server-Sent Events, allowing users to access market data, manage accounts, execute trades, and perform technical analysis.
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    1
    MIT
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    Provides real-time US power grid intelligence and carbon intensity data to enable carbon-aware AI compute scheduling across major grid regions. It allows users to monitor energy generation and optimize workloads based on renewable energy availability and grid load forecasts.
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    2
    MIT