"A tool for managing tasks and to-do lists" matching MCP servers:

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

An MCP-powered AI agent that audits your Gmail for recurring subscriptions, detects silent price increases, and flags unused services.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

MCP server for creating, monitoring, and managing Devin AI sessions.

Enables AI assistants to perform defensive security tasks such as vulnerability detection, CVE lookup, phishing/link safety checks, and security report generation via MCP tools.

Enables querying ClickHouse databases using natural language with AI models, supporting multiple providers and access restrictions via per-call allow-lists.

An MCP server for Tendem that enables users to complete tasks using a hybrid of AI and human agents. It allows for seamless task delegation and management within MCP-compatible clients.

A multi-domain MCP server that exposes a small, stable surface of three tools (list_domains, list_domain_tools, call_domain_tool) to gate access to various tool domains like Plane and BloodBank, preventing agent schema overload.

Interactive feedback server for AI-assisted development with Web UI and desktop app support, enabling user feedback collection after AI tasks.

A deep-research MCP server exposing a single task-augmented tool that runs GPT-Researcher with Tavily search, Anthropic Claude, and OpenAI embeddings, streaming progress via MCP tasks and Upjack entity stream.

A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.

A FastMCP-based server providing a comprehensive toolset for the RunningHub AI application platform. It enables users to configure nodes, upload media, submit AI tasks, and manage task execution and results through persistent storage.

An MCP server that enables Claude to manage Remember The Milk tasks, lists, and notes using natural language and Smart Add syntax. It provides full API coverage for task manipulation, including priority settings, tags, and undo support.

MCP server for managing a media server stack (Plex, Radarr, Overseerr, Bazarr, Prowlarr, Trakt.tv) using natural language to browse, request, and discover content.

MCP zero-trust gateway that sits in front of every internal MCP server, detects tool-poisoning/metadata drift in real time, and maintains a cryptographic provenance ledger of every agent tool call.

An MCP server framework featuring dynamic tool loading and a modular one-tool-per-file architecture for rapid development. It supports both Stdio and HTTP transport modes, offering automated test generation and centralized configuration management.

A Model Context Protocol server framework featuring dynamic tool loading and automatic tool discovery from a dedicated directory. It leverages FastMCP to provide a robust environment for building, configuring, and testing individual Python-based tools.

Enables AI agents to interact with EAD Enterprise Suite for managing signatures, evidence, notifications, and dossiers.

Enables access to the Pan Card Verification API for validating Indian PAN card details. It provides a dedicated tool for performing PAN verification through a standardized MCP interface.