Showing 9 open source projects for "server security system"

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  • 1
    MCP Shell Server

    MCP Shell Server

    Shell command execution server implementing the Model Context Protocol

    A secure shell command execution server implementing the Model Context Protocol (MCP), allowing remote execution of whitelisted shell commands with support for standard input. ​
    Downloads: 0 This Week
    Last Update:
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  • 2
    HexStrike AI MCP Agents

    HexStrike AI MCP Agents

    HexStrike AI MCP Agents is an advanced MCP server

    HexStrike AI is an MCP server that lets LLM agents autonomously operate a large catalog of offensive-security tools. Its goal is to bridge “language models” and practical pentest workflows—enumeration, exploitation, vulnerability discovery, and bug bounty reconnaissance—under safe, auditable controls. The server exposes typed tools and guardrails so agent prompts translate to concrete, parameterized actions rather than brittle shell strings.
    Downloads: 9 This Week
    Last Update:
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  • 3
    MCP Atlassian

    MCP Atlassian

    MCP server that integrates Confluence and Jira

    The MCP Atlassian server integrates Atlassian products like Confluence and Jira with the Model Context Protocol. It supports both Cloud and Server/Data Center deployments, enabling AI models to interact with these platforms securely. ​
    Downloads: 1 This Week
    Last Update:
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  • 4
    Zettelkasten MCP

    Zettelkasten MCP

    Implements the Zettelkasten knowledge management methodology

    The Zettelkasten MCP Server is a Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology. It allows users to create, link, and manage notes, facilitating a structured and interconnected note-taking system. ​
    Downloads: 0 This Week
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  • 5
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    Colab-MCP is an open-source Model Context Protocol server developed by Google that enables AI agents to directly interact with and control Google Colab environments programmatically, transforming Colab into a fully automated, agent-accessible workspace. Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. ...
    Downloads: 1 This Week
    Last Update:
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  • 6
    FastAPI-MCP

    FastAPI-MCP

    Expose your FastAPI endpoints as Model Context Protocol (MCP) tools

    ...The project is active, with examples and a dedicated site that shows getting started, security, and transport options.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Nerve

    Nerve

    The Simple Agent Development Kit

    Nerve is a developer-friendly Agent Development Kit (ADK) that utilizes YAML and a CLI to define, run, orchestrate, and evaluate LLM-driven agents. It supports declarative setups, tool integration, workflow pipelines, and both MCP client and server roles. Nerve is a simple yet powerful Agent Development Kit (ADK) to build, run, evaluate, and orchestrate LLM-based agents using just YAML and a CLI. It’s designed for technical users who want programmable, auditable, and reproducible automation using large language models. Define agents using a clean YAML format: system prompt, task, tools, and variables — all in one file.
    Downloads: 3 This Week
    Last Update:
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  • 8
    MaxKB

    MaxKB

    Open-source platform for building enterprise-grade agents

    Security advisories are tracked publicly, with upgrade guidance when issues arise.
    Downloads: 3 This Week
    Last Update:
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  • 9
    FastMCP

    FastMCP

    The fast, Pythonic way to build Model Context Protocol servers

    FastMCP is a fast, Pythonic framework for building servers and clients using the Model Context Protocol (MCP). It abstracts away protocol complexity like serialization, validation, and error handling, letting developers focus entirely on their business logic. With simple decorators, you can expose Python functions as tools, resources, or prompts that AI agents can safely and efficiently use. FastMCP introduces clear abstractions—components, providers, and transforms—that make it easy to...
    Downloads: 0 This Week
    Last Update:
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