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    An MCP server for data analysis and visualization supporting CSV and Excel files. It enables users to generate statistical summaries and create multi-dimensional charts like heatmaps and bar plots through natural language.
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    A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.
    1
    MIT
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    An independent messaging-channel bridge for Claude Code, with Slack Socket Mode adapter; enables Claude to receive and respond to messages via Slack.
    MIT
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    A minimal Model Context Protocol server for interacting with Telegram bots via MTProto. It provides simple tools to send messages and retrieve chat history while serving as an easy-to-extend reference for developers.
    2
    MIT
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    Enables users to interact with their live Claude Code session from Google Chat by injecting messages and receiving replies, bridging terminal and mobile conversations.
    1
    MIT
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    Enables AI agents to search, retrieve, and manage official Telegram documentation, helping them implement accurate Telegram features and verify API capabilities.
    MIT
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    Enables MySQL database analysis through natural language, including schema exploration, query execution, performance analysis, and ER diagram generation via the Model Context Protocol.
    MIT
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    A powerful Model Context Protocol (MCP) server for seamless Jira integration with AI assistants like Claude. Features advanced search capabilities, intelligent pod aliases, comprehensive ticket analysis, and full API support.
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    Enables static analysis of code snippets and public GitHub repositories using ruff and semgrep through a secure MCP SSE server.
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    MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.
    3
    14 PyPI
    AGPL 3.0
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    Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.
    5
    28 npm
    MIT