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

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.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Enables AI assistants like Claude Code and Cursor to get evidence-based tool and workflow recommendations from community data.

A NestJS MCP server that extracts tables from documents (PDF, etc.) into a single JSON file using OpenRouter's Claude Haiku model.

Enables Claude Code to browse, create, edit, and publish Pulse workflows by exposing workflow operations as MCP tools.

This MCP server bridges to the Tuba.ai platform, enabling programmatic control of AI vision workflows through callable tools such as running workflows, checking status, fetching results, and updating workflow blocks.

Enables agents to ground and compare visual specifications by calculating physical dimensions and degrees of freedom from multimodal inputs.

A lightweight MCP server that bridges AI agents with a local ComfyUI instance, enabling them to generate and iteratively refine images, audio, and video through conversational tool calls.

Enables AI agents to compare visual specifications and calculate physical dimensions and degrees of freedom from multimodal inputs.

A Model Context Protocol (MCP) server that generates production-ready n8n workflows from natural language prompts. Transform simple descriptions into fully validated, deployable automation workflows using AI-powered code generation.

Enables agents to check whether an execution trace contains the evidence needed for post-hoc causal reconstruction, retrieve individual requirement details, and list evidence requirements per failure class over MCP stdio. It works on files, directories, or inline JSON locally and never transmits or persists data.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Generates technical documentation and diagrams (C4, UML, flowcharts, Gantt, etc.) using MCP protocol, with Docker-based tooling and optional AI image generation via DALL-E 3.

Enables multi-stage AI software development orchestration by allowing users to assign different AI models to roles like architect, developer, tester, and reviewer, and execute them via MCP tools or a desktop console.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

Assists AI coding agents in understanding and implementing UTCP by providing documentation search, manual validation, code generation, OpenAPI conversion, and an LLM-powered expert agent.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables AI agents to export, import, validate, and inspect memories in the Memory Interchange Format (MIF), ensuring portability across different memory systems.

This MCP server provides tools for OCR and keyword extraction, enabling AI workflows to be split into discrete steps for easier testing, tuning, and cost control.