"NFT documentation and guides" matching MCP servers:

A convention-aware MCP server for managing markdown files with YAML schema validation. It enables AI agents to read, write, search, and validate markdown notes while enforcing user-defined conventions across directories like Obsidian vaults and documentation repositories.

Exposes local markdown documentation, notes, and knowledge bases to AI tools via the Model Context Protocol without embeddings or uploading.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables an AI assistant to browse folders, search and read notes, create and edit them, and move notes between folders within an account. Runs locally through a supported MCP client and supports basic Markdown while refusing edits that would lose existing formatting.

Local-first MCP server for navigating and maintaining arbitrary hierarchical documentation with flexible node structure, raw content, and multiple parents, leaving navigation decisions to the connected LLM.

Manages feature documentation and bug tracking inside an Obsidian vault, organized by project, enabling project listing, feature doc writing, bug filing, status updates, and retrieval.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables Claude to interact with Hudu IT documentation, including searching, reading, creating, and updating articles, assets, passwords, companies, and more.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

Gives AI agents access to a persistent document workspace, letting them search, read, and update notes, guides, and project documentation across a full catalog of tools, prompts, and resources. It connects either to the hosted Cloud endpoint over Streamable HTTP with OAuth or API-key auth, or to a self-hosted instance through a stdio bridge.

Enables agents to read and write an in-memory notes store through reliable MCP tools, with configurable profiles, response budgets, capability gating, self-documentation resources, session recovery, and stdio/Streamable HTTP transports.

Enables MCP-compatible agents to view and build trip itineraries through conversation, including places, notes, hotels, transit, rentals, checklists, expenses, and search across places, hotels, and guides.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

MCP server for Ultrathink: save and search your knowledge base from Claude Desktop, Claude Code, and any MCP client.

Provides an MCP endpoint for a personal Claude session to record a home’s rooms, measurements, windows, doors, and belongings, and to work through furnishing decisions, purchase requirements, and shop-ready quick guides.

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 synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables humans and AI coding agents to collaboratively write to a shared knowledge base with conflict-safe claims, code-anchored staleness detection, and synchronized human/agent documentation via MCP and REST.

MCP server that connects GFT (Git for Thought) thought graphs to AI agents, enabling them to read your confirmed thought chains and incrementally save new insights back to the graph. Uses zero AI tokens, with all reasoning done by your agent.