"A graph database management system: Neo4j" matching MCP servers:

Lets Claude or any MCP client query a Neo4j index of a markdown vault, answering what is connected to a note and how far, how two notes relate, which notes are orphans or dangling links, and running read-only Cypher.

Enables AI agents to navigate, search, and rank notes in an Obsidian vault using graph relationships, providing context-aware access to knowledge without exposing raw file contents.

Enables semantic search of the KJV Bible and personal knowledge graph for scripture study, notes, prayers, and memory verses, all running locally with no cloud dependencies.

Provides a self-tending knowledge base for AI agents, automatically harvesting session transcripts into facts and state notes, and injecting relevant context into new sessions via MCP hooks.

A FastMCP server that suggests wikilinks for Obsidian notes based on a pre-computed knowledge graph, helping surface connections while writing.

Enables AI agents to explore and analyze a markdown vault as a traversable knowledge graph, with tools for searching, traversing, and finding implicit semantic connections between notes.

Enables AI coding agents to search and read local Markdown knowledge bases generated by Agent Docs for Markdown, across single or multiple workspaces, including link/backlink discovery and index status checks.

A local-first Graph-RAG system combining ChromaDB with metadata-based graph relationships and Gemini 2.5 Flash for intelligent Q&A over Obsidian vaults, supporting MCP clients like Claude Desktop, Cursor, and Raycast.

Enables agents to compile a personal knowledge vault into a linked graph by indexing bi-directional links and parsing [[wikilinks]], tags, and unlinked mentions across notes. It runs deterministically over MCP without external dependencies, turning raw note collections into navigable, queryable knowledge structures.

Enables agents to compile a personal knowledge vault into a graph with bi-directional link indexing by parsing [[wikilinks]], tags, and unlinked mentions across notes. Runs as a zero-dependency MCP server, so MCP clients can build and query note connections deterministically without LLM round-trips.

A local MCP server that transforms an Obsidian vault into a structured learning interface through tools for concept extraction and gap analysis. It enables AI agents to generate study plans and align note-taking with implementation projects for a more cohesive learning workflow.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

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.

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.

Calendar and task management with kernel-level scraping for robust parsing, and integrates with DocMost wiki as source of truth.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

A secure, open-source Model Context Protocol server for connecting AI agents and apps to Notion. It enables search, read, create, and append operations on Notion pages with audit logging and risk-based security.

Read, cite, compose and remember over a Markdown knowledge Bundle, as MCP tools over stdio.

Enables AI assistants to persistently add, read, and summarize sticky notes through MCP-compliant tools, resources, and prompts.

Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.

Enables MCP clients to give AI agents a shared, persistent Graph-RAG memory backed by an Obsidian-native vault, with hybrid search, token-budgeted recall, and memory updates.

A personal notes MCP server that allows AI assistants to create, search, edit, and manage notes stored in a local SQLite database.

A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.

Read-only MCP server that surfaces contradictions in an Obsidian vault's knowledge graph via semantic search and reasoning edges.

A standalone Node MCP server that provides semantic search, knowledge graph, and vault editing over an Obsidian vault. It runs locally as a single stdio process without requiring an Obsidian plugin for core functionality.

MCP Server for local knowledge management. Semantic + keywords + tags

An MCP server that lets you talk to your OneNote notebooks, enabling search, reading, creating, and managing pages, sections, and notebooks via natural language. It connects directly to Microsoft Graph from your own computer, so your notes and credentials never leave your machine.

Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.