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    Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.
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    MIT
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    A Model Context Protocol server for Chrome tab automation using the Chrome DevTools Protocol, enabling AI agents to select tabs, capture screenshots, and interact with web pages via CSS viewport coordinates.
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    MIT
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    An MCP server that connects AI agents to the CrowdStrike Falcon platform for intelligent security analysis and automation across various security modules. It provides programmatic access to detections, incidents, host management, and threat intelligence to enhance security operations within agentic workflows.
    MIT
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    Deterministic execution engine for AI agents. 412 modules across 78 categories including browser automation, file I/O, Docker, data parsing, crypto, and scheduling. Supports STDIO and Streamable HTTP transport with execution trace, evidence snapshots, and replay from any step.
    479
    Apache 2.0
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    Provides AI ingress governance by masking prompts, classifying risk, and enforcing tool policies before agent calls reach model providers or sandboxes.
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    AGPL 3.0
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    Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.
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    MIT
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    Stealth browser automation over raw CDP, driving a real unmodified Chrome with no Playwright or Puppeteer in the stack. Returns numbered element refs from the accessibility tree so a model clicks ref 3 instead of guessing a CSS selector, and can attach to an already-running Chrome to reuse logged-in sessions.
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    MIT
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    A Model Context Protocol (MCP) gateway for running Claude Code, Codex, Gemini, Grok, and Mistral (Vibe) CLIs from one MCP endpoint, with durable async jobs, session continuity, cache-aware prompting, observability, and personal-appliance setup tooling. Why developers try it: one local MCP endpoint for cross-LLM validation, multi-agent coding workflows.
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    MIT
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    A Model Context Protocol (MCP) server that connects GraphDB's SPARQL endpoints and Ollama models to Claude, enabling Claude to query and manipulate ontology data while leveraging various AI models.
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    MIT
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    A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.
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    A personal agent control harness that governs AI agents by checking every consequential action against user-defined rules, logging all actions to a tamper-evident audit chain, and providing a global kill switch. It runs as an MCP server sidecar to coding agents or standalone, keeping users in charge of what their agents can do.
    AGPL 3.0