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    An independent, self-hostable MCP server for Trello that lets MCP clients discover boards and workspaces, search, and manage cards, lists, labels, checklists, comments, and attachments. Supports stdio and Streamable HTTP with user-provided Trello API key/token authentication.
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    108 npm
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    MIT
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    Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.
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    65 npm
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    MIT
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    Monitors your Cursor usage and provides a conserve flag to the agent, helping you manage request quota by batching questions, preferring defaults, and cutting unnecessary confirmations.
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    36 npm
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    MIT
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    Enables MCP clients like Claude Code and Codex to delegate coding tasks to Cursor's CLI agent, which implements changes in the workspace and returns clean, structured results for review.
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    255 npm
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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.
    14
    MIT
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    MCP server that wraps Cursor Enterprise API to enable AI agents to answer questions about team spending, usage, and model adoption.
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    31 npm
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    MIT
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    Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.
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    119 npm
    MIT
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    Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.
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    436 npm
    MIT
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    Enables cost-effective repository analysis, code search, file editing, and task planning by wrapping the cursor-agent CLI through focused tools. Reduces token usage by offloading heavy thinking tasks from Claude to specialized operations with configurable output formats.
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    MIT
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    Deterministic Markdown-to-Word (.docx) publishing compiler with native OMML equations, three-line tables, CSL citations, and quality gates for AI agents.
    1,607 PyPI
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    MIT
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    Lets AI agents turn a repository's git history into proposed GitHub issues grouped into units of work, each with a commit checklist and links, then create and close them only after approval. Planning is read-only and creation defaults to a dry run, skipping anything that already exists.
    MIT
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    Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.
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    318 npm
    MIT
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    Enables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.
    5
    MIT
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    Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.
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    87 npm
    MIT
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    Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.
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    73 npm
    MIT
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    Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.
    7
    MIT
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    Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.
    7
    MIT
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    Enables clients to look up dress-code meanings, generate five-piece outfit formulas for an occasion and weather, explore tested clothing colour combinations, and find relevant style guides through a free read-only MCP endpoint.
    MIT