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    Reads passports, ID cards and driver's licences from a photo or scan and returns the printed fields and MRZ as structured JSON. One credit ($0.01) per recognised document; nothing is charged when no document is found.
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    222 npm
    MIT
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    Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.
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    17 npm
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    MIT
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    Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.
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    MIT
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    Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.
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    MIT
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    Enables AI agents to receive a structured verdict on whether a UI component need can be satisfied by existing shadcn/ui or 21st.dev components or requires a custom build, with coverage scoring against real component evidence and a Mobbin reference when needed.
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    100 npm
    9
    MIT
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    Enables coding agents to submit their original request, proposed plan items, and observed repository conventions for per-item necessity scoring before making edits. It returns advisory keep, simplify, or review recommendations with reasons and evidence, without blocking or modifying the plan.
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    7 npm
    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.
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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.
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    196 npm
    MIT
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    Enables document parsing into structured, confidence-scored fields via the scan tool, working with any MCP host like Claude Desktop or Cursor.
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    44 npm
    MIT
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    Enables MCP agents to evaluate content against typed questions (yes/no, choice, or score) in a single parallel call.
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    34 npm
    Apache 2.0
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    A thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.
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    MIT
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    Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.
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    MIT
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    Enables AI agents to convert images and PDFs, including large scanned books, into Markdown through GLM-OCR, with support for long-image slicing, progress tracking, and asynchronous OCR tasks.
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    MIT
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    Enables agents to resolve ambiguous decisions by returning calibrated probabilities for each candidate action, along with a gate that signals whether to act on the top option or escalate, all via a cheap local or remote backend.
    5
    MIT
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    Enables extraction of structured item lists from public web pages using the user's own OpenAI, Anthropic, Gemini, or Groq key through an Apify actor, returning one row per item with validation flags.
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    698 npm
    MIT
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    MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.
    6
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    Apache 2.0
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    Search the AI Tool Directory catalog of 2,000+ AI tools — compare tools, find curated alternatives, and check whether a tool is still active, defunct, or acquired (backed by the AI Graveyard dataset).
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    10 npm
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    MIT
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    Provides MCP tools for MiniMax Token Plan quota queries, web searches, image understanding, and image generation, enabling integration with Claude Code.
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    MIT
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    Lets MCP clients submit a situation and typed questions (yes/no, choice, or scale) to a decision model that returns calibrated probabilities plus an act-or-escalate flag. Enables agents to route, flag, approve, check, or rate cases and hand uncertain ones to a person.
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    73 npm
    Apache 2.0
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    DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.
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    A Model Context Protocol server that gives AI assistants OCR with first-class accuracy handling and evaluation. It wraps three engines behind one interface and can score and compare them.
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    MIT
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    Enables structured yes/no, choice, and score decisions through MCP, a terminal, or HTTP using a self-hosted DiffusionGemma backend.
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    Apache 2.0
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    Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.
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    9 npm
    37 PyPI
    MIT
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    Enables deterministic, read-only creation of bilingual video prompts, timed reference-aware shot plans, and focused prompt diagnostics without API keys or external provider calls.
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    MIT
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    Enables MCP hosts to list and render bundled prompt templates and fetch assistant blueprints for ChatGPT, Claude, Gemini, Grok, or portable Agent Skill format. Operates locally over stdio with read-only tools and no network, shell, account, or file-write access.
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    32 PyPI
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    MIT