"Spec-WorkFlow documentation or implementation" matching MCP servers:

Provides structured spec-driven development workflow tools for AI-assisted software development, enabling spec creation, task tracking, approvals, and real-time monitoring via a web dashboard or VSCode extension.

Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.

An intelligent MCP server that helps development teams maintain high-quality project documentation by providing an AI-powered workflow for creating comprehensive specifications through requirements, design, and implementation documents.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

A comment-based spec-driven development MCP server that facilitates workflows from requirements creation to implementation via AI, using @spec-impl markers.

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

Enables AI coding tools to follow a structured spec-driven development workflow with three phases: requirements, design, and tasks, ensuring approval before advancing.

A Model Context Protocol server that exposes AI workflow templates as callable tools, enabling MCP clients to list templates, inspect their input/output schemas, and execute them synchronously or asynchronously to get structured results.

Provides MCP tools to score request sufficiency against a profile, block underspecified work, and write committed decision records with evidence and overrides.

A deterministic MCP server that checks project code alignment with SPEC documents through static analysis without AI involvement.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

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 AI coding agents to collaboratively create and manage a specification roadmap persisted in PostgreSQL, progressing from constitution through specification, clarification, planning, task generation, and analysis, while exposing a get_next_task tool for implementation sessions.

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.

Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.

A methodology and MCP server for agent-driven software development where humans write specs and agents implement code, enforced by six mechanical gates to ensure spec validity, contracts, tests, and review.

Enables AI agents to lint and format n8n workflow JSON over MCP, reporting issues with line-level detail and applying safe fixes.

Manages software project specifications with AI-powered guided creation, querying, validation, and dependency analysis through the Model Context Protocol.

Automatically analyzes Python codebases and generates professional documentation including README, API docs, and setup guides.