"A command-line fuzzy finder" matching MCP servers:

Enables AI tools to read and send messages through LINE Desktop via MCP, supporting manual or automatic sending without official LINE API tokens.

Enables AI tools to read and send LINE messages by automating the LINE Desktop application, with macOS OCR-based reading and idle-aware scheduling.

Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.

Enables AI apps to work with Google Sheets in plain language: finding spreadsheets, reading and writing ranges, managing sheets, formatting, validation, protected ranges, tables, charts, and access control, with deliberate writes and destructive operations clearly marked.

Enables AI assistants to search, read, draft, and send Gmail messages, as well as manage labels and trash using natural language.

Enables AI assistants to manage Google Contacts through natural language, including searching, reading, creating, updating, and deleting contacts, organizing labels and groups, running batch operations, and converting auto-saved Other contacts into regular ones.

Lets AI apps read and edit Google Docs in plain language, including reading as text or Markdown, making precise range-based edits, styling, working with comments, and exporting to PDF, DOCX, and other formats.

An MCP server that enables AI assistants to interact with the Taskwarrior command-line task management tool. It allows users to list, create, modify, and organize tasks using projects, tags, and annotations through natural language.

NAVER WORKS CLI + MCP server. 26 tools for messages, calendar, drive, mail, tasks, and boards. AI agents can manage NAVER WORKS directly.

A Model Context Protocol (MCP) server for authenticated REST APIs. Drop it into any project, point it at your API, and let AI agents call endpoints — with auto-login, 2FA support, Swagger spec fetch, and fuzzy endpoint search — all without writing a single line of auth code.

Lets MCP clients automate a logged-in LINE Chrome extension, enabling chat search, message reading, text sending, and live event streaming for messages and chat updates.

Enables natural language interaction with Yandex Direct API v5 via MCP, providing 113 generated methods with accurate handling of monetary amounts and 64-bit IDs, plus a command-line mode.

Enables interaction with Microsoft Copilot Studio Agents directly from VS Code through the Direct Line 3.0 API. Supports starting conversations, sending messages, retrieving history, and managing conversation lifecycle with your custom agents.

Enables AI assistants to manage Google Ad Manager campaigns, line items, creatives, and advertisers through natural language, automating ad operations that normally require countless clicks through the UI.

Enables control of the iOS Simulator using the xcrun simctl command-line utility. It allows users to manage devices, install and launch apps, send push notifications, and simulate device features like GPS location.

Provides intelligent command completion, validation, and contextual help for the Kafka Docker Playground CLI. Integrates with GitHub Copilot to offer auto-complete suggestions, detailed command assistance, and debugging support for playground operations.

A command-line chat interface that connects to an MCP server for reading and editing documents. It provides tools for document manipulation, resource access, and prompts for formatting and summarization.

Integrates the LINE Messaging API with AI agents via the Model Context Protocol, supporting both stdio and SSE transport protocols. It allows agents to send messages, manage rich menus, and retrieve user profile information for LINE Official Accounts.

A server based on the MCP framework that provides remote server management capabilities through SSH, supporting features like connection pooling, file transfers, and remote command execution.

A Model Context Protocol server that provides OpenAI's DALL-E 3 image generation capabilities, allowing LLMs to generate high-quality images through a standardized interface.