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

Enables personal workflow management by turning Notion into a task and knowledge system via slash commands and 19 integrated MCP tools. It supports project-based task tracking, subtask management, and automated note summarization directly through the Claude interface.

Automates three core workflows for Sangfor Engineer: project all-in-one (Excel to guide to validation to report), equipment health check, and Obsidian wiki integration.

Connects Zotero and Obsidian for an AI-assisted academic reading workflow, enabling paper fetching, structured note creation, highlight syncing, and review management.

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.

MCP server for local-first RAG over Obsidian vaults, enabling AI agents to search and ask questions about notes with grounded citations.

Provides AI agents with a secure offline-first long-term memory system using Obsidian Markdown vault and 3D knowledge graph, with RLM-based querying to avoid context overload.

Enables AI agents to read, search, and preview governed markdown memories with explicit state and sensitivity, plus quarantine-only write, while never mutating canonical memory or exposing undeclared content.

MCP server for local Zotero on Windows and WSL, enabling read access to items, collections, annotations, and notes via the Local API, and safe write operations through a plan/apply workflow with Web API verification.

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

Plan-bank MCP for AI agents and Notion. Agents read and write Markdown implementation plans with line + section addressing — no ad-hoc temp scripts.

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.

Enables AI assistants to read and write trading journal data, including trade logs, analytics, psychology audits, risk limits, playbooks, and daily reviews. Provides 38 tools across 7 domains plus workflow prompts for pre-market prep and post-session analysis.

An MCP server that lets users capture quick phone thoughts via Android and later query them from AI assistants like Grok or Claude, functioning as a simple task memory store without notifications or geolocation.

Enables code agents to read, write, search, and manage notes in an Obsidian vault via the Local REST API plugin, along with workflow prompts for planning, debugging, summarizing, and committing.

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.

A server that consolidates 21+ Obsidian tools into 5 intelligent operations (vault, edit, view, workflow, system) with contextual workflow hints to help AI agents effectively interact with Obsidian.

An MCP server implementation that integrates with SiYuan Note system, enabling AI models to access and manipulate note data through comprehensive commands for notebook management, document operations, and content manipulation.

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

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.