"Progress" matching MCP servers:

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Enables external agents to list T3 environments and projects, start coding threads, monitor progress, send follow-up instructions, and interrupt running turns via MCP.

An MCP server that enables Claude to orchestrate multiple autonomous Claude Code agents working in parallel across different projects, with tools to dispatch, monitor, and manage their progress.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables delegating coding tasks to Cursor Cloud Agents from Claude Code, Codex, or Grok, with scoped repository access, progress monitoring, follow-ups, and result reporting.

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

Enables AI assistants to create and manage Cursor Cloud Agents that autonomously work on GitHub repositories, including creating tasks, monitoring progress, and automatically generating pull requests.

Autonomous TDD coding agent that converts specifications into feature lists and implements them using test-driven development with pause/resume capabilities, live progress monitoring, and automatic git commits.

Enables agents to delegate coding tasks to self-hosted Hermes workers running in isolated container dev boxes, each with its own workspace, browser, and optional desktop, then monitor progress and collect screenshots, recordings, and PR evidence.

MCP server that bridges Claude with KiloCode, enabling Claude to act as architect and delegate coding tasks to Kilo's fast CLI agent while monitoring progress and reviewing results.

A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.

Enables Codex to delegate coding tasks to a persistent DeepSeek Harness agent that can read repositories, edit files, and run tests, while letting users follow up, monitor progress, and interrupt the work.

Coordinate and verify OpenCode worker agents over MCP Streamable HTTP. The bridge lets compatible AI harnesses dispatch scoped work, inspect progress, run approved commands, and verify results through a safe worker-only endpoint.

Controls coding agents by enforcing structured implementation plans with PRs and commits as work units, requiring user review at each commit checkpoint to prevent agents from going off track. Includes a visualization dashboard for tracking progress in real-time.

Implements GitHub's Spec-Driven Development methodology, transforming natural language requirements into executable specifications, technical plans, and ordered task lists with contract-based validation and progress tracking.

Enables running aider as a detached background process with git and file tools, allowing LLMs to start code editing processes and check progress asynchronously for agentic swarm behavior.

Enables MCP-compatible AI clients to invoke CLI-driven agent tools over Streamable HTTP, including shell execution, file operations, patching, image viewing, web search, and nested agent tasks, with permission modes and real-time progress streaming.

Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.

Lets you @mention a bot in a Slack channel or DM to send work to a local Claude Code session and watch it run, with live self-updating turn cards, threaded answers, progress checklists and a per-channel inbox with read cursors. It runs entirely on your machine over Slack Socket Mode—no tunnel or public IP—routes misdelivered messages to the right project, and masks credentials in anything it posts back.

Bridges MCP clients such as Claude Code and Cursor to independent Codex app-server sessions, letting them start, poll, steer, review, compact, cancel, and answer prompts for asynchronous Codex tasks over local stdio or a remote authenticated WebSocket. Runs read-only by default, with workspace-write sandboxing only when a user explicitly enables it, and reports job status, model listing, and progress back to the client.