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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    Exposes a connected-vehicle OBD-II/telematics platform to AI agents, enabling vehicle health scoring, live data queries, DTC decoding, maintenance prediction, and gated remote commands via a pluggable data layer.
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    Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.
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    Provides telemetry, rule-based anomaly detection, and maintenance recommendations for a synthetic connected-vehicle fleet through five narrow MCP tools, enabling fleet monitoring and analysis without external APIs.
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    MIT
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    Enables comprehensive security reconnaissance, vulnerability assessment, and threat intelligence gathering by integrating Shodan's API. It provides tools for searching internet-connected devices, performing DNS operations, and querying the Shodan exploit database.
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    Apache 2.0
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11
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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.
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    MIT
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    Exposes self-owned AI agent plugins as tools to Claude Code via a stdio MCP server, allowing Claude to call system info, calculator, or scribe transcriber directly.
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    MIT
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    The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.
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    Python
    MIT
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    Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.
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    Apache 2.0
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    attendance-engine-mcp is a Model Context Protocol server that gives AI agents deterministic, fixture-backed tools for workforce attendance and wage-and-hour compliance. Built on @attendance-engine/core — a pure-function, zero-deps, 100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP host correctly answer the questions HR/payroll teams actually ask: did this person clock i
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    MIT
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    Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.
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    MIT
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    Provides AI agents with tools for structuring and auditing cold outreach messages, building follow-up sequences, handling replies, and detecting red flags.
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    MIT