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    Native C# Model Context Protocol (MCP) server for Godot Engine. Connects AI coding assistants (Claude, Cursor, Copilot, VS Code, etc.) directly to your running Godot editor.
    17
    22
    MIT
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    Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.
    1
    MIT
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    Enables agents to plan Pinterest content end to end for digital products: generating pin angles with visual briefs, writing titles and descriptions within Pinterest's character limits, suggesting keyword-named boards, and building a validated bulk-upload scheduling CSV. It also parses pasted Pinterest Analytics exports into totals, top pins, hidden gems, and recommendations — all deterministically, with no login, API key, or posting.
    5
    MIT
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    Entroly is a high-performance context engineering engine that optimizes AI coding agent context windows through information-theoretic compression and reinforcement learning. It gives your AI 100% codebase visibility while reducing token consumption by an average of 78%.It's learns fully autonomously.
    86
    514 PyPI
    478
    Apache 2.0
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    Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.
    17 PyPI
    2
    Apache 2.0
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    An MCP server that structures AI reasoning as directed acyclic graphs of semantic thoughts, enabling explicit dependencies, assumption tracking, and cascade invalidation for transparent decision-making.
    7 npm
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    MIT
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    MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, etc.
    18
    MIT
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    A narrative graph engine that enables LLMs to generate, track, and mutate complex fictional worlds while maintaining consistency between factions, characters, and locations. It acts as a specialized RAG framework for storytelling, allowing models to manage thousands of entities without exceeding context limits.
    MIT
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    Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.
    2
    MIT
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    Wraps a dependency-free memory lifecycle engine as six read-only MCP tools, letting any agent extract facts with pure regex, score signals, compute Ebbinghaus decay and archival judgments, and simulate a full five-stage dream cycle for long-term memory growth. Runs over stdio or streamable HTTP with no API key, storing no caller data.
    1
    MIT
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    Enables AI agents to search, read, organize, draft, send, and schedule email through a scoped token, with actions journaled and reversible. It also supports proposal queues, approval workflows, and undo operations for safe mailbox automation.
    0
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    Apache 2.0
  • A
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    maintenance
    Enables natural-language-driven analytics over CSV/Parquet or built-in data by decomposing questions into analytical tasks, running them via deterministic DuckDB and SciPy tools, and publishing only claims verified against the underlying rows.
    MIT
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    Enables AI assistants to interact with Godot game projects through real-time error detection, automated testing, code analysis, and safe git-based patching. Provides comprehensive project context and development workflow automation for Godot developers.
    MIT