"Amazon EKS" matching MCP servers:

Enables AI agents to manage osTicket support tickets including listing, searching, reading, creating, updating, replying, deleting, managing subtickets, and downloading attachments.

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.

A TypeScript-based server that enables interaction with Jira, providing tools to execute JQL queries, manage tickets, list projects and statuses through natural language.

Connects AI clients to an enterprise resource scheduling platform so agents can view schedules and availability, track projects, bookings and allocations, manage timesheets, and run utilization, forecast and financial reports using the signed-in user's permissions.

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.

MCP server for Holded — invoicing, accounting, CRM, projects, and team

Enables local MCP clients to orchestrate a source-aware volunteer-briefing workflow with pause and takeover, incremental source checks, and exact-draft confirmation and download.

A self-hosted, Streamable HTTP MCP server that turns spoken end-of-day voice entries into a personal diary, extracting promises and to-dos with due dates from ordinary speech, merging near-duplicates, and prioritizing what matters most with explanations. It also lets users ask what's due, mark commitments complete by meaning, and receive pattern observations and reflections, using Amazon Bedrock for language understanding with an offline fallback.

A remote MCP server for Taiga project management that enables multiple users to connect simultaneously with their own Taiga accounts via OAuth 2.1, providing access to Taiga resources through the Model Context Protocol.

Enables students to create and track study tasks, retrieve prioritized daily study plans, complete sessions, and monitor progress through MCP tools over Streamable HTTP.