"NFT documentation and guides" matching MCP servers:

Connects to your Smartsheet account, enabling Claude Code to browse workspaces, read sheets, and generate documentation.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Provides structured DevOps practices and templates (tracking, documentation, runbooks) to streamline AI-assisted PoC development, reducing CLAUDE.md bloat and ensuring consistency across projects.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

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.

Guides product design through mandatory phases—discovery, definition, prioritization, flows, and verification—so an AI assistant can run a project from problem to verified scope, with strict or free progression modes.

Enables developers to read project context, create documentation drafts, update reports, and retrieve tenant-scoped metrics through the Andiora platform APIs.

MCP server for the Globalize localization platform: create translation projects, add languages, manage glossaries and style guides, connect repositories, and track translation jobs from any MCP client. Available as a hosted Streamable HTTP endpoint and as an open-source TypeScript package in the mcp-server directory.

Unified MCP server that integrates Jira, GitLab, and Confluence for AI assistants to access project management, code repositories, and documentation from a single interface.

Enables AI clients to document a code repository inside an Obsidian vault, capturing tasks, incidents, feature guides, architecture decisions, and release notes with per-claim evidence and cited sources. It reads the repo read-only through a configurable allowlist and previews every change before a single-use confirmation code applies it.

Enables AI coding agents to take and progress tasks, hand in completed work with evidence, and enables users to publish, search, and retrieve guides, file bugs, manage inbox/board/activity/logs, and plan tasks over MCP.

A comprehensive MCP server for managing product initiatives, architecture decisions, requirements, and releases, enabling AI tools to interact with architectural documentation and planning.

Enables Claude or any MCP-compatible agent to view, build, and edit trip itineraries through conversation. Supports searching real places, guides, and hotels, plus adding notes, hotels, transit legs, car rentals, checklists, and budget expenses within Wanderlog trips.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Transforms ideas into detailed, executable development plans with built-in verification, lessons learned tracking, and GitHub issue remediation workflows. Guides Claude through structured interviews, plan generation, execution with Haiku agents, and verification with Sonnet agents to maintain context and code quality across sessions.

Provides hiring guides and discovery checklists to help users craft compelling job descriptions for senior developer roles. It includes tools to analyze existing descriptions against best practices and generate clarifying questions to fill information gaps.

Enables reading, validating, and managing STEPWELL method documentation (BACKLOG.md, PROGRESS.md, archives) in repositories, with tools for status, backlog, progress, and safe dry-run mutations.

Connects AI assistants to the ThinkPrompt platform for managing style guides, requirements, projects, documents, and workflows via 85 MCP tools.

Enables AI agents and humans to collaboratively manage kanban boards and Markdown documentation via MCP tools, with stable item keys, revision-safe editing, and full audit trails.

An MCP server that guides a sequential QA workflow, requiring initial project and user story inputs, then crawls web apps, generates test cases and Playwright scripts, runs tests, and files Jira bugs with proof.