"Tools and Templates for Prompt Management and Workflow Automation" matching MCP servers:

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables deterministic, resumable workflow automation through DAG step graphs, boolean gate branching, automatic parallel execution, and in-step agent loops with sandboxed file and command tools.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

An MCP server that uses Claude 3.5 Sonnet to transform ordinary prompts into structured, professionally engineered instructions for any LLM. It enhances AI interactions by adding context, requirements, and structural clarity to raw user inputs.

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.

A standalone runtime and MCP server that executes Claude Code dynamic workflow files through interchangeable agent providers, ensuring compatibility with Claude Code's workflow format.

Enables users to submit goals via MCP so a host agent can generate scripts, coordinate subagents, monitor execution stages, recover interrupted runs, and deliver reusable artifacts.

Enables bounded, multi-phase coding workflows inside Codex that plan, implement, independently review, repair, and verify repository changes, with an inline dashboard for inspecting runs.

Enables enterprise MCP clients and partner agents to execute tenant-isolated underwriting, claims, and compliance workflows with durable step checkpointing, evidence-grounded tool calls, and deterministic PDF citation receipts. It supports A2A task dispatch and MCP JSON-RPC operations while blocking cross-tenant access and ungrounded deliverables.

A stateful MCP workflow engine that enforces strict step ordering for AI agents, persisting run state so interrupted workflows can be resumed from a checkpoint. It also supports parallel step groups, bounded retries, agent-chosen jumps between steps, rewinding, and a live browser dashboard across any MCP client.

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

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Enables MCP clients such as Claude Desktop, Claude Code, and Cursor to discover node types, author and validate typed multi-agent workflow files, launch runs against a workspace, and retrieve run status, node outputs, and workspace change details.

Enables MCP-capable AI agents to work on bounded project folders through read, write, run, and verify tools, with durable approval/resume workflows and completion proven by observed verification evidence rather than self-reported results.

Enables prompt optimization loops and regression test suites for Claude Code, with a companion web UI for real-time visualization of scores and prompt revisions.

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.