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    A quantum-inspired secret manager that anchors API keys to your OS-native vault, preventing plaintext .env leaks. It empowers AI agents with advanced mechanics like multi-environment superposition, linked entanglements, and ephemeral in-memory tunneling.
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    AGPL 3.0
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    Apache 2.0
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    Establishes feedback-oriented development workflows with dual Web UI and Desktop interfaces, enabling AI to confirm with users before actions and consolidate multiple tool calls into a single feedback request.
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    Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.
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    MIT
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    Terminal MCP server for AI coding agents with persistent PTY sessions, ring-buffer incremental reads, headless xterm screen capture, multi-agent orchestration, and a real-time web dashboard.
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    MIT
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    A local MCP server that breaks on demand, allowing you to test your client against auth failures, disappearing tools, flaky responses, and token expiry from a web UI.
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    MIT
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    An experimental MCP server demonstrating remote calls via FastAPI, supporting ping-pong commands through API endpoints and SSE transport.
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    MIT
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    MCP server for macOS native notifications with 67 AI brand icons and system sound support, enabling AI agents to send desktop notifications via one-line tool calls.
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    A minimal FastMCP server template for quick deployment to Render with streamable HTTP transport. Provides a foundation for building custom MCP servers with easy local development and one-click deployment capabilities.
    Last updated