"Executing Operations and Maintenance Tasks, Such as Deployment and Upgrades" matching MCP servers:

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A simple demonstration MCP server that provides a sum_numbers tool for calculating the sum of a list of integers, built using the FastMCP framework.

An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.

Enables MCP agents to inspect deployment knowledge extracted from a repository, covering workflows, services, deployments, and images.

Enables analyzing Salesforce deployment logs, validating metadata manifests, assessing permission risks, and generating remediation plans through deterministic, local-only rules.

A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.

A demonstration MCP server that provides a simple addition tool for learning how to create and deploy servers following the Model-Context-Protocol specification. Serves as a basic example for developers getting started with MCP server development.

MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.

Task manager for AI agents with projects, priorities, and status tracking. Reads are free, writes require Veyra commit mode.

Enables date and time operations including formatting, arithmetic, comparisons, and duration calculations using date-fns library. Provides tools for getting current time, adding/subtracting durations, finding differences between dates, and comparing dates.

A lightweight task management MCP server that enables CRUD operations on tasks stored in a single JSON file, including listing, creating, updating progress, and setting priorities.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.

A TypeScript Model Context Protocol server that integrates with Google Tasks API, allowing users to create, list, update, delete, and toggle completion status of tasks.

A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Converts Cursor agent plans into structured markdown task lists and organizes them in your repository.

An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.

MCP server that enables AI agents to start, monitor, and stop background processes like dev servers, builds, and tests, with a web dashboard.