"A comparison or overview of Obsidian and Logseq" matching MCP servers:

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.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

Connects Claude Desktop to an Obsidian vault, enabling natural language management of PM documents like PRDs, Jira notes, meeting notes, and ideas with automatic folder structuring and full-text search.

Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.

Kanban board over plain - [ ] task lines in an Obsidian vault, with two-way Markdown sync. Lets AI assistants list boards, find, create, update, move and comment on cards; deleting cards or boards is not exposed.

An MCP server for managing tickets and meetings with CRUD operations, backed by PostgreSQL, and includes a REST API and React frontend.

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.

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.

An Obsidian planning server that integrates GTD and PARA methodologies to manage daily notes, tasks, and project workflows. It features 17 tools for organizing vaults, including inbox prioritization, weekly review generation, and full-text search capabilities.

Enables users to manage Obsidian Kanban boards within a vault by listing, reading, and creating boards or tasks. It supports moving tasks between columns and adding detailed task metadata via the Obsidian Kanban plugin.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Enables managing Obsidian Kanban boards and their task notes through the Local REST API, supporting operations like creating, moving, updating tasks and subtasks, and auditing board consistency.

Enables AI-assisted task management by extracting and querying Obsidian Tasks from markdown files, with support for status mapping, date filters, and Obsidian Tasks query syntax.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

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.

Enables Claude to query and edit Obsidian Tasks by parsing task lines across a vault, supporting Tasks-style filters, date and tag operations, task completion/cancellation, duplicate detection, health checks, and daily log appends.

Enables AI assistants to manage Obsidian tasks with full CRUD operations, querying, and date-based filtering via MCP.

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.

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-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

Enables AI assistants to create, update, search, and manage project entities (milestones, stories, tasks, decisions, documents, features) stored as markdown files in Obsidian with automatic relationship tracking and progress overview.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

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.