"How to write a Java application, especially using Spring" matching MCP servers:

Enables AI agents to manage job applications, documents, and contacts via the Application Tracker workspace, with read-only or write access controlled by administrator settings.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Automates job application tracking and resume/cover letter generation using AI, integrating with Google Drive, Notion, and Gmail.

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

A Model Context Protocol (MCP) server that enables AI assistants like Claude and Cursor to interact with Microsoft To Do via the Microsoft Graph API.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

Lightweight project management for teams and AI agents.

Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Enables AI-powered task management with Google Gemini integration, providing CRUD operations, task analytics, CSV export, and natural language interaction for comprehensive project management.

Enables AI coding agents to read and write WEEEK projects, boards, tasks, and comments directly, without context switching.

Enables AI assistants to read and write to OmniFocus database, allowing natural language task management, project creation, and GTD workflows.

Job application tracker for developers: AI agents write over a remote MCP server (OAuth), humans review in a dashboard at jobctl app.

MCP server for Jira Cloud that lets AI agents search, read, and write Jira issues using your own Atlassian account and API token, with write operations gated behind explicit opt-in.

Enables MCP-capable clients to read and write Kimai timesheets using a personal API token, supporting natural language time logging, timers, and timesheet management.