"Information about Flowable (e.g., workflow and business process management tool)" matching MCP servers:

Enables Claude Code to drive a local cockpit UI through task validation, planning, coding, pre-review, and publishing, using waiting tools that return when the user clicks or speaks.

Enables multi-agent code review and iterative improvement loop using different LLM backends, with deterministic scoring and audit trail.

Enables opencode clients to delegate a software-engineering task to a brigade of parallel subagents that split a DAG, implement in isolated shadow copies, machine-verify artifacts, pass review gates, and summarize results. It exposes asynchronous run, status, list, stop, and template tools for large refactors, batch fixes, and multi-option comparisons.

Automates GitHub workflows (branch creation, testing, commit/push, PR) through natural language instructions in Claude Code.

Delegates autonomous coding tasks to Z.ai's GLM models with a genuine agent loop, file operations, and verification via git and real process results.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

An MCP server that allows Claude Code to interact with the OpenAI Codex CLI.

Provides a specification-driven workflow layer for AI-assisted coding, enabling agents to follow an explicit 11-phase feature workflow with checkpoints, artifacts, and quality gates.

Enables Claude Code to dispatch opencode CLI tasks as background processes with immediate task handle return, status polling, and result retrieval, avoiding tmux and log parsing issues.

Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.

Acts as a unified dispatch hub for local coding agent CLIs, supporting capability-based routing, schema validation, and retries via MCP tools.

Enforces a git-tracked, code-checked finite state machine that hands control between a planning director and a local Ollama implementor, exposing tools to check phase status, transition states, and run the implementor to execute plan step files one at a time. It enables a project to be planned, implemented step by step with per-step test gating, and validated before completion.

a claude code harness engineering tool

An enhanced sequential thinking tool optimized for programming tasks that helps break down complex coding problems into structured, self-auditing thought steps with branching and revision capabilities.

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

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

MCP server that lets Claude Code ask GPT Codex for adversarial planning, code review, debugging, research, and risk triage without leaving your project workflow.

Bridges Claude Code and OpenAI Codex CLI for an interactive plan-execute-review workflow, enabling Claude to interview, design, and review while Codex implements code changes.

Enables a two-model AI coding workflow inside Claude Code, where one model plans and reviews while a second model writes code, with test verification, automatic rollback, and learned improvements.

Enables AI agents to delegate complex coding tasks, refactorings, and automated code reviews to OpenAI Codex and Google Antigravity CLIs, running them autonomously in YOLO mode with process supervision.

A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.

A fire-and-poll MCP server that lets Claude Code run long background jobs without hitting tool-call timeouts.

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

Enables Claude Code or any MCP client to delegate hands-on coding work to OpenAI Codex over a persistent app-server process, keeping long-lived threads with follow-ups, async polling, approvals, steering, and interrupts. Supports native code review, resuming existing sessions, structured output, and parallel worktree-isolated tasks.

Enables MCP clients to run and resume Vibe coding-agent sessions in project directories with configurable limits, model/agent/tool controls, worktrees, and installation management.

Coordinates Codex and Antigravity CLI for a structured software development workflow with workspace authorization, Git-based verification, and acceptance criteria.

Enables hands-free, voice-driven management of T3 Code projects, threads, agent runs, and pending actions via GPTVoice tool calls.

Orchestrates multiple Claude Code agents across iTerm2 sessions with process-level isolation, enabling collaborative AI development workflows on multiple codebases with task-based inter-agent communication and persistent state management.

MCP server that turns ChatGPT Web or any MCP client into a coding agent on your own repositories, enabling file editing, command execution, testing, and git workflow without an OpenAI API key.

Provides automated analysis, audit, and code generation to migrate Nuxt 2/3 projects to Nuxt 3/4, with orchestrated multi-server workflow support.

Bridges a main agent (e.g., Codex) to a separate execution model in Claude Code Haha Desktop, enabling delegated coding tasks with file modifications, test runs, and change auditing.

Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.

An MCP server that enables AI-powered IDEs to implement a structured development workflow from requirements gathering to code implementation, guiding users through goal collection, requirements specification, design documentation, task planning, and execution.

Unified MCP server for Android mobile development — combines project knowledge, Android CLI execution, live dependency versions, and agentic workflow tools for Claude Code.

Adds persistent task management to AI coding assistants in IDEs, allowing them to track multi-step tasks across sessions and maintain organized workflow with project-scoped todo lists.

Enables AI agents with an always-on computer to orchestrate Kiro CLI V3 coding sessions through typed tools rather than shell commands. Exposes 32 tools plus a subscribable transcript resource for creating, configuring, prompting, steering, forking, and exporting sessions, with operator-policy gating and bounded process control.

All-in-one 24-tool MCP runtime and 180-skill library providing protocol-level C4 workflow gates, cognitive reasoning engines, and safe execution for AI coding agents.

Enforces a three-phase gated workflow (Research → Plan → Implement) for complex coding tasks with explicit human approval at each phase transition and automatic context management to maintain focus.