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    A TypeScript starter template for building MCP servers, including a greet tool and stubs for a Notes & FAQ Search, designed for the NextFlows Academy cohort.
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    MIT
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    Enables creating, updating, and publishing concept pages on SharePoint Academy via Microsoft Graph API, with tools for page management and menu configuration.
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    MCP server for StudioMeyer Academy that connects Claude Code, Cursor, or Claude Desktop to track learning progress in the Memory-First AI Operator curriculum. It enables users to view lessons, complete quizzes, earn certificates, and run spaced-repetition reviews directly in chat.
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    24 npm
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    MIT
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    Enables persistent, distilled memory for AI assistants, allowing recall and storage of durable facts across sessions and subagents via MCP.
    6
    128 PyPI
    MIT
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    Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.
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    187 PyPI
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    MIT
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    Provides AI models with tools to proofread and format Chinese text before delivery, covering typos, punctuation, casing, spacing, and platform-specific character limits. It runs as a zero-dependency MCP service so the model checks and fixes its own Chinese writing automatically.
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    MIT
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    Unofficial MCP server for working with Kagi without API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.
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    MIT
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    An MCP server that enables AI assistants to interact with the DhanHQ trading platform, providing access to holdings, orders, trade history, and token renewal via DhanHQ APIs.
    4
    MIT
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    Lets Claude Desktop, Claude Code, Cursor, and other MCP clients send messages to any external AI bot over an HTTP webhook and fetch the bot's answer back into the chat. Replies can arrive in the webhook response body, by polling a reply URL, over an SSE stream, or by posting to a local inbox, with tools for sending, reading, and waiting on threaded replies.
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    1,214 npm
    MIT
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    Enables AI assistants to solve linear, nonlinear, and integer optimization models with a locally installed LINGO 11 solver and read the results back as structured data — status, objective, variable values, reduced costs, row slacks, and dual prices. It also runs arbitrary LINGO command-window analyses, reports the detected installation and license status, and lists the bundled sample models, correctly flagging infeasible or unbounded models instead of inventing an optimum.
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    MIT
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    Enables automation of AutoCAD LT and headless DXF creation through two backends (File IPC for Windows AutoCAD LT and ezdxf for cross-platform) with tools for drawing, entity, layer, block, annotation, PID, view, and system operations.
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    MIT