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    Enables AI assistants to autonomously perform site reliability engineering including monitoring, root-cause analysis, impact assessment, and remediation with cryptographic zero-trust enforcement.
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    Refined MCP server for GitHub GraphQL API. GitHub's official MCP Server exposes dozens of low-level tools that bloat token usage and are mostly impractical for LLMs. gh-mcp achieves the best of both worlds by providing a single, powerful interface: GitHub GraphQL, wrapped with smart abstractions.
    2
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0
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    Enables interaction with the CEDAR metadata repository, including fetching templates, searching BioPortal ontology terms, and managing template instances.
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    MIT
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    A Model Context Protocol server built with FastMCP that provides tools for retrieving the current local date and time. It allows LLMs to access precise temporal information directly from the host environment.
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    MIT
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    Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.
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    Apache 2.0
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    Provides AI assistants with direct access to the complete Godot Engine documentation, including classes, tutorials, and features. It enables developers to retrieve and analyze official documentation through natural language interfaces using the Model Context Protocol.
    2
    MIT
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    A governance layer for MCP servers that classifies tools by risk, enforces agent permissions, lets safe tools earn autonomy through a track record, and keeps an audit trail. Requires human approval for irreversible actions and provides blast radius context.
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    MCP server for Overseerr media request management. Enables AI assistants to search for media, view requests, and manage media requests through the Model Context Protocol.
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    A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.
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    MIT
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    A starter template for building calculator-focused MCP servers using NitroStack, including tools, resources, and prompts.
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    Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.
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    MIT
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    A Model Context Protocol server framework featuring dynamic tool loading and automatic tool discovery from a dedicated directory. It leverages FastMCP to provide a robust environment for building, configuring, and testing individual Python-based tools.
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    A verified, event-ready MCP server template for building TypeScript servers with the NitroStack SDK, including a calculator module as a working reference.
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    A template and demonstration project for building, testing, and deploying remote MCP servers using FastMCP and uv. It provides a foundational structure for creating MCP-compliant tools that can be hosted publicly and integrated with LLM agents.
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