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    Enables AI models to search and retrieve bibliographic and digitized records from Swiss academic libraries (swisscovery, e-rara, e-periodica, e-manuscripta) via open protocols without requiring API keys.
    Last updated
    16
    1
    MIT
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    Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.
    Last updated
    191
    MIT
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    A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.
    Last updated
    MIT
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    Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
    Last updated
    8
    Apache 2.0
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    A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.
    Last updated
    1
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    A minimal MCP server template for Python with Streamable HTTP transport, bearer token authentication, and a hello tool, designed for deployment on Render.
    Last updated
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    A Model Context Protocol server that brings the capabilities of enigmapython library to LLMs, allowing them to encrypt and decrypt messages using historically accurate Enigma machine emulators
    Last updated
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    5
    MIT
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    A Machine Comprehension Protocol server that enables AI assistants to interact with Kestra workflows through natural language, supporting operations like flow management, executions, backfills, and other Kestra features.
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    28
    Apache 2.0
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    Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.
    Last updated
    MIT
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    Enables LLM agents to execute arbitrary Python code in secure, isolated sandbox environments with automatic dependency management and file handling. Each code execution runs in a fresh virtual environment that gets destroyed after completion, providing safe and reproducible Python code execution.
    Last updated
    29
    MIT