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"Securely Upload Local Files to Hosting Server via FTP Using WinSCP" matching MCP servers:

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    An enterprise-grade MCP server for FTP and SFTP operations optimized for AI coding assistants, featuring smart synchronization, connection pooling, and unified diff patching.
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    MIT
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    Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.
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    MIT
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    Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.
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    Enables local file reading and writing for your project via Claude Desktop, with tools to read, write, and list files in a specified root path.
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    A lightweight local MCP server that enables users to add, list, edit, and delete expenses via SQLite database through natural language in MCP-compatible clients.
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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
    1
    MIT
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    Provides AI assistants with plain-English access to official Houston-area public data including weather alerts and school ratings, no API keys required.
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    Apache 2.0
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    A Model Context Protocol server that provides AI assistants with plain-English access to official Dallas-area public data (weather alerts, school ratings, and 311 service requests) without requiring API keys or logins.
    4
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    Apache 2.0
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    Local-first Microsoft Outlook MCP server: a single Go binary that manages calendar events and mail through the Microsoft Graph API over stdio, with tokens stored in the OS keychain and no Entra ID app registration required. Exposes four aggregate tools (calendar, mail, account, system) dispatched by an operation verb, with multi-account support and read-only and mail-gating modes.
    4
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    MIT
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    Enables AI assistants to answer DFW civic and property questions using official data sources without API keys.
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    Apache 2.0
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    Optimizes token costs by intelligently delegating low-complexity tasks to local LLMs via LiteLLM, enabling cost-effective development workflows.
    3
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    MIT