"An overview of knowledge graphs" matching MCP servers:

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

Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.

An MCP server that utilizes Trello as a knowledge base for storing, searching, and retrieving code snippets and notes. It enables full CRUD operations and organized categorization of information using Trello boards and labels.

Enables AI agents to search, read, create, and maintain a local-first knowledge base using hybrid retrieval and Markdown note management through the Model Context Protocol.

Enables AI agents to share persistent memory by capturing, classifying, synthesizing, and retrieving knowledge from sources like Obsidian, code, and transcripts via MCP and REST APIs. Provides token-optimized search, three-tier memory, and self-learning capture of sessions and fixes so multiple agents can build on prior context.

Enables saving URLs, local files, plain text, and platform content (WeChat, X, YouTube, PDF, images, audio/video, Telegram) as structured Markdown knowledge cards in an Obsidian vault, with optional AI-powered classification and tagging.

Enables AI agents to capture, classify, promote, synthesize, and retrieve persistent knowledge from sources like Obsidian vaults, code, transcripts, and session logs, serving it through MCP tools and a REST API. Provides tiered, token-optimized memory so multiple agents share one compounding brain instead of starting from zero each session.

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.

A Cloudflare Workers-based MCP server for Notion knowledge base management, enabling intelligent search, automatic recording of code snippets, and statistics analysis through natural language.

Enables read-only querying of an Obsidian knowledge base through MCP tools and resources, including full-text search, node and link retrieval, related-note traversal, and pathfinding between concepts.

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.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.

Enables AI clients to search, read, and analyze a local SQLite knowledge base built from the full public archives of people you follow, bookmark, or subscribe to, with tools for onboarding, querying, and topic tracking.

An MCP server for managing Obsidian-style note vaults, providing tools for full-text search, note creation, and backlink tracking. It enables users to navigate, structure, and update their personal knowledge base through natural language.

Enables AI clients to search, read, and navigate a local Obsidian vault privately, with read-only tools for discovery, evidence reading, backlinks, and vault statistics.

Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.

Enables automatic filing of notes, links, and meeting lines by classifying each item’s kind, project, urgency, and duplicates, while storing your original text unchanged in an append-only inbox.

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.

Provides MCP tools to read, write, append, and edit prose sections of nodes, backed by an in-memory or substrate-direct (Urania) backend.