"Information about the term 'Word'" matching MCP servers:

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.

Model-agnostic, agent-ready Obsidian MCP server with RBAC, SLSA provenance, and native search. 163 tools across 31 domains, multi-vault, pluggable embeddings.

Long-term memory for Claude Desktop and Claude Code over plain markdown files on your machine. It returns nothing when the corpus has no answer, naming the terms that appear nowhere — no least-bad match dressed as an answer. And it verifies cited commit SHAs against git, so an agent can tell what actually shipped from what was only discussed and abandoned. Local; nothing is transmitted.

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.

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.

A read-only MCP server that provides access to Maimemo study data, including vocabulary progress, word lists, and notepads. It supports both stdio and HTTP transports with authentication and rate limiting for secure data access.

A read-only MCP server that connects Claude Desktop to Scrivener writing projects, enabling project overviews, searches, chapter reading, word counts, synopses, and notes access.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.

Provides a read-only semantic layer over an Obsidian vault, enabling queries about projects, decisions, tasks, and related notes.

Enables coding agents to store, search, and retrieve long-term memory as plain Markdown files with a disposable SQLite index, including note management, decision/bug tracking, and codebase symbol lookup via MCP.

Provides seamless integration with Capacities knowledge management system, allowing Claude to list spaces, retrieve space information, search content, save weblinks, and add content to daily notes.

A self-hosted MCP server that gives AI agents shared, long-term memory over a git-backed folder of markdown, enabling persistent knowledge search, read, and write without a database.

Enables the management of a technical terminology glossary within an Obsidian vault by providing tools to add, search, and retrieve term definitions. It supports structured Markdown entries featuring both developer-focused and simplified explanations for efficient knowledge management.

A local MCP server that keeps one source of truth about capabilities, accomplishments, and positioning consistent with derived profiles, applications, and résumés, by registering decisions, checking consistency, and assembling materials for media-specific documents.

Enables Claude Code to interact with Obsidian vaults by providing tools for multi-term searching, reading notes, and exploring tag-based relationships. It allows users to query, analyze, and manage their personal knowledge base directly through natural language.

A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.

Persistent memory server for MCP clients that lets AI assistants remember facts about users across sessions via a single markdown file, with tools to read, save, search, update, delete, and organize memory.

MCP server for Glanceway, the macOS menu bar information app, enabling AI assistants to read sources and items.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.