"Information about Amazon Web Services (AWS)" matching MCP servers:

Enables AI assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

An MCP server for managing Tempo worklogs in Jira, allowing users to track time, retrieve logs, and perform bulk operations via natural language. It integrates with the Tempo API to support creating, editing, and deleting work entries through MCP-compatible clients like Claude and Cursor.

Provides access to Autodesk Platform Services API, enabling interaction with ACC projects and issues through natural language.

Enables users to analyze, save, compare, and track bounty opportunities through a stateful MCP workflow, build submission plans, and request the next best action across sessions.

Connects AI assistants to Todoist for comprehensive task management, enabling natural language creation, updating, and organization of tasks, projects, sections, and labels.

Example MCP server for Autodesk Platform Services that demonstrates proper OAuth authorization with Auth0 as the first layer and APS 3-legged OAuth as the second layer. Enables querying APS projects and issues through natural language after authenticating via Auth0 and APS.

Enables interaction with Trello boards through comprehensive card, list, and board management tools. Includes built-in rate limiting, type safety, and support for operations like creating cards, updating details, managing members, and tracking board activity.

Enables proof-carrying project execution through a read-only remote MCP endpoint and WebMCP tools for managing Project Passports, task graphs, evidence-backed provider comparisons, route approvals, artifacts, verification records, and checkpoints without executing external providers.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

Enables interaction with Azure DevOps services including Boards, Repos, and Pipelines through natural language commands.

MCP server integrating Nextcloud services (tasks, calendar, notes, email, files, Deck) for AI assistant interaction.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables AI assistants to securely connect to OpenProject workspaces and browse, query, and reason about projects, work packages, saved queries, and related metadata via the OpenProject REST API v3.

Model Context Protocol server for the mite time tracking API, enabling time entries, stopwatch, customers, projects, and services management through natural language.

Provides a standardized interface for interacting with Rocketlane's tools and services through the Model Context Protocol, enabling unified API access.

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.