"Task" matching MCP servers:

An MCP server for Spec-Driven Development that transforms natural language ideas and meeting transcripts into structured, production-grade specifications using EARS notation. It automates a 7-phase pipeline to generate project artifacts like requirements, architecture designs, and task lists directly to disk.

MCP server that enables LLMs to create and edit draw.io diagrams using high-level intent commands, with automatic layout and styling.

Enables autonomous software engineering workflows by routing intent to specialized modes, managing Fable5 task ledgers and backend contracts, auditing React/TypeScript stacks, generating architectural SVG diagrams, and enforcing write-guard path policies.

An MCP server that enables AI assistants to interact with Figma designs for tasks like reading document info, creating elements, and managing auto layouts. It facilitates real-time design automation via a custom Figma plugin and WebSocket server integration.

Enables AI coding agents to index codebases into a queryable knowledge model and ask for the smallest architectural surface a task likely touches, with evidence, confidence, and freshness, via MCP tools.

Enables agents to create, customize, analyze and export relationship diagrams — theorem dependencies, paper maps, task RACI, org charts, conversation graphs — through 25 MCP tools, with cycle detection, centrality bottleneck reports, dependency closure and Mermaid/DOT/Markdown/JSON interop. Graphs stay local-first in a diff-friendly JSON source of truth and can be refined on a visual canvas.

Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.

Provides AI tools for generating project planning documents including technical design plans, phase-based task checklists, and detailed role definitions as plain text files.