"Finding a program written in Java" matching MCP servers:

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

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

A Model Context Protocol (MCP) server for Hubstaff API integration, enabling seamless time tracking, project management, and team collaboration through AI assistants.

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

Enables comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

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

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

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 task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.

Persistent code finding, requirements, and release tracker for AI assistants. Enables durable memory for code review findings, requirements, dependency blockers, parallel-agent coordination, and release milestones with minimal token overhead.

Enables any MCP-capable coding agent to gate code writing behind user-approved design checkpoints, asking for the user's own approach first and recording decisions, project maps, and progress in a local .vibe-wise/ folder. Code is only written once the user explicitly confirms an implementation checkpoint, with no account, backend, or telemetry required.

Enables Claude to create and upload test cases directly into TestRail by finding the right section, checking required fields, and creating cases with steps, expected results, references, custom fields, and optional images from chat or a case-pack JSON file.

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

An MCP server for Microsoft Project that reads, analyzes, and writes .mpp, .xer, and .xml schedule files, offering critical path analysis, DCMA 14-point assessment, and verified writes without requiring Java or Microsoft Project.

Enables AI coding agents to collaboratively create and manage a specification roadmap persisted in PostgreSQL, progressing from constitution through specification, clarification, planning, task generation, and analysis, while exposing a get_next_task tool for implementation sessions.

Enables LLMs to manage tasks in a local SQLite database, with tools for creating, listing, updating, and deleting tasks.