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    This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.
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    MIT
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    An MCP server that enables LLMs to discover, reason about, compose, and execute sktime estimator workflows via a registry-driven semantic engine.
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    26
    BSD 3-Clause
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    An intelligent agent that responds to financial queries about TreePod Glamping directly within Claude Desktop using MCP protocol, providing tools for tariff calculation, occupancy checking, financial analysis, and business reporting.
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    8
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    A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.
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    MIT
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    Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.
    Last updated
    4
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    MIT
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    An MCP server that translates human GUI actions into machine-executable commands, enabling AI agents to control real software applications like Zoom, Excel, and WeChat via natural language or API calls.
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    MIT
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    MCP server that lets Claude, ChatGPT, or VS Code build a complete, machine-checked model of your domain and generate an app from it.
    Last updated
    Apache 2.0
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    An MCP server that transforms Claude-style skills and resources into callable tools for any MCP-compatible agent or client. It automatically discovers, exposes, and executes scripts from skills organized in local directories or packaged archives.
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    An interrupt-aware MCP sidecar for long-running coding agents that detects changes in user guidance, constraints, or plans, enabling agents to pause, replan, and acknowledge updates before continuing.
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    5
    MIT
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    IntentFence is an open spend and action policy gate for autonomous AI that evaluates tool call constraints like scope, cost, data-retention, and approval, returning decisions such as safe_to_proceed, needs_review, or denied, and provides an MCP server endpoint at /mcp.
    Last updated
    1
    Apache 2.0