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    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
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    Enables statistical A/B testing by computing Welch's two-sample t-test, Satterthwaite degrees of freedom, and two-tailed p-values, alongside time-series forecasting, anomaly detection, regression, and PCA through MCP tools.
    MIT
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    Industry 4.0 / IIoT AI agents for manufacturing: explain OEE losses per shift, triage machine alarms, find downtime root causes, prepare predictive-maintenance jobs and write shift reports from Unified Namespace (UNS), MQTT or historian data. Plus an industrial AI-readiness diagnostic and a vendor-neutral digital-transformation advisor. Works in Claude Code, Codex and any MCP client.
    1
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    173 npm
    MIT
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    Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.
    3
    196 npm
    MIT
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    Test management over MCP: author test cases, run manual executions with per-case results, cut releases, and link automated tests to the cases they cover. Works against the hosted M00N Report service or a self-hosted instance.
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    69 npm
    MIT
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    Ask Vulnify before an AI agent acts: get ALLOW, REVIEW or BLOCK, and read and test policies.
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    78 npm
    2
    MIT
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    Enables AI clients to search roughly 4,600 Chinese legal-practice articles and guides by licensed lawyers, pinpoint and read individual provisions among 17,000+ statutes, and look up criminal charge elements, sentencing ranges, provincial compensation standards, courts, procuratorates, detention centers and other judicial resources, plus run 56 legal calculators. Responses return summaries and source links rather than full article text.
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    MIT
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    Open-source sample MCP server built to be audited: ships a paid-tool x402 demo, a deliberately scannable surface, and documented security posture. From Payload, makers of the MCP Launch Readiness Audit (48-rule scanner with a fix for every finding, hardening templates, stress-test harness, readiness verifier, CI workflow, branded audit report) and the MCP Monetization Kit.
    3
    MIT
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    调用官方智睦云打印服务(any.webprinter.cn),支持查询打印机、上传本地文件、创建漫游打印任务、直接打印到指定设备,以及分别更新单双面、颜色、份数和纸张等打印参数。
    10
    16 npm
    MIT
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    Provides LocalServer and RemoteServer implementations for running MCP servers locally via stdio or remotely via HTTP/SSE, with simple and advanced deployment options.
    1
    MIT
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    A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.
    1
    MIT No Attribution
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    缔零法则MCP是基于LLM和RAG技术搭建的实现完全替代人力的全自动化风险识别的内容安全审查平台,致力于通过代理AI技术减少人力成本,高效高精度为用户提供分钟级接入的内容风控解决方案,破解安全威胁,提供从风险感知到主动拦截策略执行的全链路闭环与一体化解决方案。This MCP tool is an AI-powered content security review platform built on LLM and RAG technologies, designed to achieve fully automated risk identification that completel
    MIT
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    Double-entry books an agent keeps as the user, on your own Postgres or Supabase: invoices, VAT returns, bank reconciliation, financial statements and 130 country packs.
    42
    AGPL 3.0
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    Enables MCP clients such as Claude Desktop, Cursor, and Windsurf to run two-sample Welch's t-tests that compute Satterthwaite degrees of freedom and two-tailed p-values for A/B test comparisons. It also exposes zero-dependency statistical primitives including Holt linear forecasting, Z-score/IQR anomaly detection, gradient-descent regression, and power-iteration PCA, all using only the Python standard library.
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    MIT
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    Enables MCP-compatible editors to orchestrate test runs, debug failures, analyze visual regressions, run accessibility audits, and manage test cases through natural language.
    MIT
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    Enables AI assistants to preview, test, or live-send SMS through a Kuwait SMS gateway and to check credit balance, Sender IDs, coverage, number validity, and message status with account-owner-controlled safety limits.
    MIT
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    A self-hostable, multi-MCP personal-assistant framework with multi-provider LLM orchestration, a real safety model, and a production-grade test suite. Nexus Core is the engine behind a Telegram-based personal assistant: it takes a message (text or voice), routes it through an LLM, lets the model call tools exposed by a fleet of Model Context Protocol servers, gates anything destructive behind exp
    MIT
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    Enables AI agents to search, read, and write a shared tree of markdown articles hosted on Amazon S3, with per-folder and per-article permissions, attribution of every change to the signed-in user, and full version history. Agents get exactly the access granted to the person they act for, and cannot grant permissions or hard-delete content.
    3
    MIT No Attribution
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    MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.
    MIT
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    Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due.
    MIT
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    Enables AI agents to run GPU acceptance tests on NVIDIA nodes you administer over SSH, executing DCGM diagnostics, a CUTLASS GEMM benchmark, HBM and PCIe bandwidth tests and NCCL all-reduce, then reporting each measurement against the matching profile's thresholds. Supports creating tests, tracking progress, sharing reports, and requires two owner-only confirmations before nodes are added or a test starts.
    MIT