"Logseq - A Knowledge Management and Note-Taking App" matching MCP servers:

Enables AI assistants like Claude to directly read, write, search, and navigate your local Logseq knowledge graph, including managing journals, pages, backlinks, and page relationships without manual copy-pasting.

Enables structured note-taking with markdown support, dynamic tagging system, advanced search capabilities, and markdown export functionality through natural language conversations in Claude Desktop.

A proof-of-concept MCP server for AI assistant note-taking, enabling adding notes, fetching the latest note, and summarizing all notes.

Enables LLMs to read, search, and manage Obsidian vault markdown files, including YAML frontmatter, wikilinks, and graph operations through a secure stateless I/O layer.

An MCP server that acts as a knowledge engine for software projects, delivering relevant context at the start of a task and accumulating knowledge at its end through tools like start_task, context, finish_task, remember, and search, with a file-based source of truth and optional semantic retrieval via Graphiti/Neo4j.

MCP server for Claude Code that consolidates routine setup actions like project scaffolding, skills, landing page builds, guard hooks, images, and icons into a single entry point.

A security-first, read-only MCP server that lets clients browse and read text, PDF, and XLSX files from an explicit allowlist of local folders, with strict path and secret protections.

Enables integration between Claude AI and Nasuni environments to monitor appliance health, manage volumes and shares, and generate comprehensive infrastructure reports. Users can interact with the Nasuni Management Center through natural language to track performance metrics and summarize system notifications.

Enables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.

A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.

Provides a persistent Docker computer with terminal, file editing, and optional desktop GUI control through a Three.js interface.

Enables AI assistants to interact with SiYuan Note for comprehensive notebook management, document editing, and block-level content operations. It supports advanced features like full-text search and SQL queries via secure API integration.

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.

MCP server that wraps the Fast Note Sync REST API to enable querying and editing Obsidian vaults via MCP tools.

Enables Claude to create, edit, run, and manage reusable skills stored locally, including executing scripts with automatic dependency management and environment variables. Works across all MCP-compatible clients like Cursor, Claude Desktop, and claude.ai.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

A local MCP server for managing Markdown notes, enabling create, list, read, search, summarize, and delete operations through natural language.

A lightweight and modular framework for building MCP-based file management systems with standardized module structure, flexible configuration, and extensible functionality registration mechanisms.

A Python-based MCP server for local Windows diagnostics, task management, cleanup, hardware inspection, security checks, and administrative workflows.

Enables natural language management of Hammerspace storage clusters with automated file ingestion, tagging, tier management, and vector embedding generation. Supports real-time file monitoring, multi-format document processing, and Kubernetes-based ingestion workflows with Milvus integration.