"JavaScript逆向工程技术与方法" matching MCP servers:

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 persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.

Provides MCP access to an internal performance and consulting project collaboration system, enabling management of projects, stages, tasks, materials, evidence, approvals, and experience in a traceable chain, with Feishu for organization sync and collaboration.

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.

Enables query and management of Zentao bugs, tasks, projects, and iterations directly from MCP-compatible IDEs like Cursor or Claude Desktop.

Exposes read-only tools that list projects and return a project's status, latest build, and unresolved issues as facts drawn from local sample JSON data. This gives a connected agent the raw evidence it needs to decide release readiness, without the server itself making any judgment.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.

A production-ready MCP server that connects AI assistants to the D-Tools System Integrator platform, enabling natural language management of AV projects, clients, catalogs, tasks, service orders, and purchase orders.

Connects AI assistants to the Basecamp 2 API, enabling management of projects, todos, messages, and people directly through natural language.

MCP server for TestRail API, providing AI assistants with 107 tools to manage test cases, runs, results, plans, and more. Supports API key, password, and SSO cookie authentication.

Enables AI-powered interaction with ZenTao 11.3 legacy systems, supporting task, bug, requirement, and test case management via MCP protocol.

Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.

Automates generation of Work Breakdown Structure (WBS) diagrams and project documents. Supports Mermaid, PNG, and .docx export for project MINTRANET.

Exposes task-management tools over the Model Context Protocol, letting any MCP client discover and call operations to add, list, and complete tasks persisted to a local JSON file. It serves as the plug layer for a separate task kitchen module, with permissions enforced in the client.

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

Small MCP server for connecting to enterprise Jira using a personal access token. It enables issue operations, project listing, JQL searches, and attachment handling.

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.

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 assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.