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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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    5 npm
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    Legal document redlining engine that applies AI-generated JSON changes as professional tracked changes with comments in .docx files, producing Word-indistinguishable output.
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    Enables MCP hosts that require a local stdio process to connect to the hosted public demo, forwarding tool discovery and calls for fictional scheduling scenarios, product information, draft-sharing preparation, and optional feedback.
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    MIT
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    Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.
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    Apache 2.0
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    An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.
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    MIT
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    A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.
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    MIT
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    Turns any AI assistant into an ATS-optimized resume engine that tailors resumes to job descriptions, validates candidate intake, analyzes gaps, scores matches, and renders DOCX/PDF outputs.
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    MIT
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    Drive the OpenTakeoff construction takeoff engine from any MCP client: open plan PDFs, set and verify drawing scale, one-click room areas, measure lengths, and export takeoff quantities. Runs locally over stdio via npx -y opentakeoff-mcp.
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    AGPL 3.0
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    Enables AI assistants to interact with Slack workspaces, including listing channels, posting messages, replying to threads, adding reactions, and retrieving user information.
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    MIT
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    Enables AI assistants to read, search, create, and update Microsoft OneNote Desktop notebooks, sections, and pages on Windows using a dual-engine design that combines local .one backup parsing for offline full-text search with live COM automation for real-time authoring. Converts semantic HTML into native OneNote XML with rich typography, hierarchical sub-bullets, and grid tables — no cloud tokens, Graph registrations, or Azure credentials required.
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    Enables AI assistants to interact with Mural visual collaboration workspaces through OAuth 2.0 authentication, allowing users to list and retrieve workspace information.
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    Exposes over 300 Operaton BPM REST operations as tools for AI agents to interact with the Operaton engine. It enables managing process deployments, instances, user tasks, and decision tables through natural language commands.
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    332 npm
    Apache 2.0