"Information about queue-based systems or concepts" matching MCP servers:

MCP server that queues stories and feeds them to live Claude Code sessions, delegating bounded tasks to worker routes in isolated git worktrees.

Enables agents to autonomously resolve GitHub issues by editing code, running tests, and opening pull requests, while enforcing guardrails that protect critical files and systems.

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

Lets AI agents create and drive Claude Code cloud sessions natively over stdio, exposing typed tools to start a session from a task description, queue follow-up messages into an existing session, and check the CLI's sign-in state. Each tool maps to a fixed Claude Code CLI invocation with strict schemas and structured JSON results, so agents never write shell commands or run local sessions.

Generates AnyLogic simulation models from natural-language prompts in Claude Code, allowing users to describe queueing systems, factories, or ERs and obtain runnable .alp files.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

Enables AI coding assistants to design, synthesize, heal, and export production-ready accessible web applications and design systems in real time with zero build overhead.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

Enables Codex CLI to delegate tasks to file-based specialized agents with isolated execution, auditability, and CI-friendly validation.

Enables direct MCP-based pairing with T3 Code environments, allowing users to manage environments and projects, start and continue turns, and inspect thread history over stdio without requiring T3 Connect or a local turn CLI.

Lets AI coding agents ask a Rails app about itself: 35 read-only tools answer from the schema, models, routes, controllers, views, jobs and conventions, over MCP or the command line, even when the app cannot boot.

A task-level STDIO MCP server that lets Codex or any other MCP client hand off scoped coding jobs to an asynchronous worker agent which reads the code, edits files, and runs tests, while the client keeps ownership of planning and acceptance. Exposes submit, wait, query, follow-up, and cancel tools so multiple clients can queue and monitor tasks against a chosen project root.

Outcome-based persistent memory for AI coding tools.

Integrates the Qwen3-Coder 30B parameter model with Claude Code through 5 specialized tools for code review, explanation, generation, bug fixing, and optimization. Optimized for 64GB RAM systems with advanced performance settings including flash attention and parallel processing.

A Model Context Protocol server that provides powerful regex-based code refactoring and search tools for Coding Agents.

Enables a local Codex chat to ask a second opinion, review staged, unstaged, or revision-based diffs, and delegate coding tasks to the Antigravity CLI running in isolated or disposable workspaces. Supports starting, polling, retrieving, and cancelling tasks with returned answers, diffs, changed-file lists, exit codes, and time/output limits, while never auto-applying returned patches.

An MCP server that implements a structured workflow for LLM-based coding, guiding development through feature clarification, documentation generation, phased implementation, and progress tracking.

Always-on AI agents: a software factory for Claude Code, or an AI SRE that watches your systems.

Connects AI assistants to an AgentX account so they can list and inspect a fleet of AI coding agents running on the user's own machines, read their output, send them messages, create chats, wait for events, and retrieve artifacts. Sign-in happens through browser-based OAuth, with no API key or local install required.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Provides persistent, scoped memory and tooling for autonomous coding agents, letting lessons, decisions, and project knowledge accumulate across queue runs.

Provides Roslyn-based code intelligence for AI coding agents via MCP, enabling efficient navigation and surgical edits of C# solutions.

Enables programmatic control of Cursor's cloud-based AI agents for automated code generation and repository management via standardized MCP tools.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

Enables users to define reusable Markdown-based coding sub-agents and run them through any MCP-compatible client with a chosen coding CLI backend, returning results to the same conversation.

Enables coding agents to query a parsed graph of a repository and to recall what earlier sessions learned about it, both stored in FalkorDB behind one traversal. It exposes eight MCP tools over stdio for locating symbols, tracing calls and impact paths, and writing or recalling user- and repo-scoped facts, procedures, and handoffs.

Autonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.

Enforces structured, evidence-guided software engineering tasks with cognitive actions (investigate, plan, verify, remember) and persistent state for LLM-based coding agents.

Classifies software implementation tasks using local Ollama models and recommends coding-agent models based on a deterministic policy.

Multi-system MCP server for reading and writing ABAP source via SAP ADT, with a local web admin, browser-based login, and tools for source navigation, editing, activation, testing, and debugging.