"A tool for following and completing a plan step by step" matching MCP servers:

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

A Python-based tool that streamlines social media tasks by enabling users to post tweets, track username changes, fetch recent tweets, and send direct messages on Twitter.

Enables AI assistants to search for vehicles, manage reservations, and access Enterprise Plus loyalty account information through headless browser automation on enterprise.com. It supports the complete car rental workflow including vehicle searching, booking, modifications, and points balance checks.

An MCP to give AI agents extensive knowledge of your personal finances and control of your budgeting.

A single MCP server that provides dynamic access to thousands of APIs through discovery and proxy, eliminating the need to install and configure multiple separate MCP servers.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

A Model Context Protocol server exposing 58 online tools (crypto, data, image, text, etc.) and workflow execution, enabling MCP clients like Claude Desktop to invoke them via natural language.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables AI agents to automate simulated stock trading on the Tonghuashun trading system, including checking account balances and positions, viewing orders and deals, placing market orders, and canceling pending orders via the MCP protocol.

Exposes Creatio CLI (CLIO) commands as tools for AI agents to manage Creatio environments. It enables users to perform environment health checks, restart web applications, and execute raw CLI commands through a stateless HTTP transport.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

MCP server for Buy Me A Pie that allows managing shopping lists and items through natural language.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

Combines structured sequential thinking with batch operation execution, enabling step-by-step reasoning with revision/branching capabilities and chained operations with variable piping between steps.

Enables authorized Ruflo workflows to recover from CAPTCHA interruptions via a single bounded stdio MCP tool with structured validation and human handoff.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for AlloyDB (beta): https://www.cdata.com/download/download.aspx?sku=KYZK-V&type=beta

Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.

Enables agents to drive a running React application through typed MCP tools, using the same actions as the UI instead of browser automation.