"Information about SVG (Scalable Vector Graphics)" matching MCP servers:

Enables semantic and full-text search over markdown notes, with tools to create, edit, move, and delete notes, all through MCP. Runs entirely locally using Ollama for embeddings and SQLite for storage, working with Obsidian or standalone.

Enables AI assistants to securely search and retrieve information from a user's encrypted Joplin notebook via vector memory and MCP.

Enables Claude to interact with Apple apps on macOS including Mail, Calendar, Contacts, Reminders, Notes, and iCloud Drive for personal productivity tasks like triaging email, managing calendar, and cross-app context.

An MCP server that integrates Zotero and MinerU pipelines to import and manage academic literature in an Obsidian vault, enabling automated note creation, PDF parsing, and vault maintenance.

Enables deterministic, token-minimal multi-hop retrieval from a vault of [[wikilink]] notes via the Model Context Protocol, allowing LLMs to answer questions by following authored links without vector databases or LLM calls during retrieval.

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.

A generic Markdown vault MCP server with FTS5 full-text search, semantic vector search, frontmatter-aware indexing, incremental reindexing, and non-markdown attachment support that exposes search, read, write, and edit tools.

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

Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

Enables Claude, Cursor, Windsurf, and autonomous agents to save web pages and notes as persistent memories, then search them using full-text keyword matching and semantic vector recall.

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

Enables an LLM to autonomously maintain a Markdown-based wiki with YAML frontmatter, using hybrid BM25 and local CPU vector search for fully offline retrieval without external APIs or databases.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

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

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.

Provides a lightweight personal knowledge base MCP server that compiles raw materials into interconnected Wiki pages, with hybrid search (BM25, optional vector, link expansion) and tools for querying, reading, writing, and ingesting content.

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.

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.