"Importing FastMCP from the mcp.server Python Module" matching MCP servers:

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

A Model Context Profile server that enables Claude to interact with Todoist, allowing users to create, retrieve, update, and manage tasks through natural language commands.

A TypeScript framework for building MCP servers with client session management capabilities, supporting tools definition, authentication, image content, logging, and error handling.

Lets assistants connect a GitHub Projects backlog to Google Calendar and Tasks, so you can view entries, plan work into free time, and create events and to-dos.

A server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.

Enables automated content publishing and management on Xiaohongshu (Little Red Book) platform, supporting image/video posts, content search, user profiles, and interactions through the Model Context Protocol.

A Python server that enables interaction with macOS native applications (Contacts, Notes, Mail, Messages, Reminders, Calendar, and Maps) through AppleScript, featuring asynchronous operations and type-safe interfaces.

An MCP server for fetching and transforming web content into various formats.

Enables AI assistants to interact with humans through GUI dialogs for text input, choices, confirmations, and information display.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

A Model Context Protocol server that enables management of F5 devices through natural language commands, allowing users to create, update, list, and delete network objects like virtual servers, pools, and iRules via the iControl REST API.

Dynamically generates MCP tools from OpenAPI specifications, enabling AI assistants to interact with any REST API through natural language. Supports multiple APIs with authentication, parameter validation, and integration with Claude Desktop and LangChain.

Task management MCP server supporting create, complete, and list operations with Bearer token authentication. Deployable locally or via Docker/Cloudtype.

Enables users to manage Gmail by fetching recent emails with pagination and creating new or reply drafts via the Gmail API. It provides a seamless interface for interacting with email content and drafting responses within Gemini-CLI.

MCP server that integrates with Shopify API, allowing Claude Desktop users to retrieve and manipulate product information from Shopify stores.

A production-ready MCP server template that enables developers to quickly build and deploy MCP servers with dynamic tool/resource loading, YAML-based prompts, and seamless OpenShift deployment. Supports both local development with hot-reload and production HTTP deployment with optional JWT authentication.

Provides secure filesystem operations, HTTP fetching with SSRF protection, JSON validation, artifact logging, and optional Redis key-value storage through both stdio and HTTP transports. Features production-ready security controls including sandbox enforcement, allowlist validation, and comprehensive input validation.

Enables interaction with the Telegraph API (telegra.ph) to create, manage, edit, and export Telegraph pages. Supports account management, templates, Markdown/HTML formatting, and page backup functionality.

An MCP server for intelligent novel processing that enables precise token-based text segmentation and management of bulk rewriting tasks. It integrates with the Cursor editor to facilitate automated content transformation workflows and prompt management.

Lets you use Claude Desktop to interact with your task management data in Things app, enabling you to create tasks, analyze projects, manage priorities, and implement productivity workflows through natural language.