"A server for finding information about Todoist, the task management app" matching MCP servers:

A Model Context Protocol server that enables advanced task and project management in Todoist via Claude Desktop and other MCP-compatible clients.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

MCP server that enables AI agents to access and modify Todoist tasks, such as finding tasks by date and adding tasks, via natural language.

MCP server for Todoist API integration, allowing management of tasks, projects, sections, labels, and comments through natural language.

MCP server that connects Claude to Todoist, enabling full CRUD operations on tasks, projects, sections, comments, and labels.

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

This MCP server enables agents to manage complex tasks by providing tools for registration, complexity assessment, breakdown into subtasks, and status tracking throughout the task lifecycle.

Enables AI assistants to manage tasks through a comprehensive interface with 8 tools for creating, updating, searching, and tracking tasks with priorities, categories, and due dates. Features persistent file-based storage, advanced filtering, and task statistics for complete task management workflow.

An MCP server with LangGraph agent integration that enables AI agents to use custom tools and external APIs for dice rolling, web search, social content creation, and GitHub access via STDIO transport.

Enables AI assistants to manage tasks through YAML-based storage with subtask suggestions, status updates, and Mermaid Gantt chart generation. Supports hierarchical task structures with attributes like dependencies, milestones, and parallel execution.

A secure MCP server providing controlled access to pixi tasks and commands, eliminating agent bash circumvention. It exposes 11 pixi tools through 4 meta-tools for ~95% context savings.

Enables LLMs to interact with Todoist task management platform through its API, supporting all features from the official Todoist TypeScript Client.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

MCP server that wraps a personal task manager REST API, enabling Claude to read and manage tasks via tools like get_tasks and add_task.

Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

Bridges MCP clients such as Claude Code and Cursor to independent Codex app-server sessions, letting them start, poll, steer, review, compact, cancel, and answer prompts for asynchronous Codex tasks over local stdio or a remote authenticated WebSocket. Runs read-only by default, with workspace-write sandboxing only when a user explicitly enables it, and reports job status, model listing, and progress back to the client.

Enables existing apps to expose their users and data to external AI agents via MCP with OAuth 2.1 authentication and scoped tools.

Enables app intelligence across Google Play and the Apple App Store, including details, reviews, and search via a unified API.

MCP server for the Neuralpunk.app Phase 1 slice, enabling AI agents to read approved capabilities, join resident debates, and propose Signals while preserving canon integrity.

Enables asynchronous task execution and scheduling using RabbitMQ, Celery, and Redis/SQLite. Supports immediate background task execution, scheduled tasks with ISO 8601 timestamps, task status monitoring, cancellation, and completion notifications.