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"LINE" matching MCP servers:

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    A macOS MCP server for LINE that reads encrypted local database snapshots to fetch chat history and sends messages via LINE UI without cursor movement.
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    MIT
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    Enables AI assistants to securely interact with Salesforce CRM data through SOQL queries, CRUD operations, and metadata exploration. Supports connecting to Salesforce objects like Accounts, Contacts, and Opportunities via OAuth 2.0 authentication.
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    MIT
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    Automatically synchronizes meeting transcripts from Otter.ai to a local SQLite database for easy browsing and management. It enables semantic and keyword-based search across meeting history through integrated MCP tools for Claude and Cursor.
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    A command-line interface and API that allows users to analyze and visualize AWS cloud spending data by enabling Claude to query AWS Cost Explorer through natural language conversations.
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    MIT
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    Enables AI assistants to interact with QuestDB time-series databases through tools for querying data, inserting records using InfluxDB Line Protocol, and managing table schemas with automatic creation.
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    A local MCP server that wraps common forensic command-line tools for CTF/forensics competitions into MCP tools, enabling automated analysis of disk images, memory dumps, network captures, SQLite databases, archives, and steganography.
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    MIT
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    Enables AI agents to search and read Metabase dashboards and cards, explore database schema, and run read-only query previews through the Model Context Protocol.
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    Enables LLMs to explore database schemas, execute read-only SQL queries, and perform data analysis on Apache Doris or MySQL-compatible databases through a standardized MCP interface with built-in analytical prompts.
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    MIT
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    极轻量、低 Token 消耗的飞书多维表格 MCP 服务,支持链接解析、记录读写和筛选搜索。
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    MIT
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    A lightweight MCP server for exploring Dremio data catalogs. It provides read-only tools for browsing catalogs, querying tables, and previewing data.
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    MIT
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    Enables querying and management of live Firebase projects, providing access to Firestore collections and documents. It also allows users to retrieve and filter Cloud Function logs directly through the Model Context Protocol.
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    Enables minimal interaction with Supabase databases through 4 essential tools for data querying, mutations, file storage, and user authentication. Designed for 70% less context usage than standard implementations with auto-truncated results and simplified parameters.
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