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

Task queue MCP server for Claude Code that allows adding, listing, and completing tasks from an external CLI, enabling Claude to drain a queue of follow-up work without disturbing a running turn.

Exposes an agent orchestration task queue as an MCP tool interface, allowing agents to submit, list, get, and update tasks with typed validation.

AI-powered agentic workspace by Ambuj Systems for career intelligence, resume tailoring, and claim verification.

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

Turnkey on-premise private Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI & join Partner Program.

Enables the creation and execution of task-specific AI sub-agents defined in markdown across any MCP-compatible tool like Cursor or Claude Desktop. It integrates with execution engines such as Claude Code, Cursor CLI, and Gemini CLI to provide portable and reusable specialized agent workflows.

A Model Context Protocol server that enables AI agents to create fully mixed and mastered tracks in REAPER DAW, supporting project management, MIDI composition, audio recording, and mixing automation.

Verifiable GitHub handoffs between AI agents: receipts, read-back, no self-review. Every write is read back, acknowledgements are bound to the exact task version, and unsafe actions like self-review or a token in a comment are blocked.

MCP server for priority-weighted token budget management in multi-agent LLM systems, enabling dynamic reallocation of unused tokens between agents based on priority and current spend.

Connects AI assistants to the ADAS platform, enabling them to build, validate, and deploy multi-agent systems through natural language commands without manual configuration.

Enables MCP clients to submit tasks to a local file-backed queue and later read or cancel them by ID, with results produced by a separately run worker.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

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.

Enables agents to search a lightweight catalog, inspect permissions, lazily start trusted MCP servers, and call child tools without keeping all schemas in context. It also loads approved skills on demand and routes third-party additions through a human approval queue.

Enables concurrent terminal sessions or other MCP clients on the same machine to register, exchange messages, check inboxes/replies, and coordinate tasks through file-based storage without a daemon or network port.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

A Model Context Protocol server that enables scalable mobile automation for iOS and Android through a platform-agnostic interface, allowing LLMs to interact with mobile applications via accessibility snapshots or screenshot-based inputs.

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

Provides MCP tools to migrate or compress conversation sessions between models based on context window capacity, including querying model context windows and listing known models.

Provides a workspace-safe, read-only bridge between browser-based AI planning/review and local coding agents, enabling structured plan, execution summary, and review handoffs without granting shell, file write, or Git push access.

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.

Connects agentic platforms to one or more local or networked LM Studio instances, exposing chat, embeddings, model listing, health, and pool-status tools. Provides intelligent load balancing, automatic failover with circuit breaking, role-based routing, and a daemon mode with a real-time web dashboard and HTTP/SSE endpoints.

Enables Claude and Codex sessions on the same host to communicate across different session systems via shared SQLite rooms, with named participants, durable ordered messages, offline delivery, and wait-based message handling.

Enables agents to submit proposed actions against governed domain text and receive proceed, escalate, or block decisions, with persisted review-queue handling over stdio JSON-RPC.

Enables a primary Codex agent to queue independent, read-only research jobs that execute in parallel using any OpenAI Responses-compatible inference provider while the agent continues its own work.

MCP server for multi-agent AI systems providing mailbox messaging, A2A task delegation, resource coordination, and a web dashboard.

Enables MCP clients to delegate background subagent jobs to an IDE's local agent engine, queue and monitor them, and retrieve results while the orchestrator continues working.

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

The first open-source MCP server that enables AI to fully control remote macOS systems.