"Startups in AI, Large Language Models, and AI Agents" matching MCP servers:

Provides LLM clients with persistent memory tools for searching, reading, creating, and updating notes, retrieving backlinks, listing recent notes, and managing tasks using self-hosted MySQL storage.

Enables external AI assistants to interact with Logseq graphs through 34 specialized tools for managing pages, blocks, journals, and tasks via the local HTTP API.

Enables AI assistants like Claude and Codex to read, write, search, and traverse Markdown notes stored in a self-hosted knowledge base.

Enables Google Drive, Sheets, and Docs operations; ATS job-board reads and liveness checks; local notes and HTTP connectors through MCP.

Provides AI coding agents with a local, Markdown-first shared memory, enabling them to record decisions, failures, progress, and handoffs and retrieve them across sessions via MCP tools.

Provides a shared, persistent memory layer for AI assistants, letting them read and write to a local Obsidian vault through MCP with validation, secret rejection, and deduplication.

A productivity coaching assistant designed for ADHD support that provides intelligent task management, goal tracking, and personalized recommendations. It utilizes a persistent memory system to learn user patterns and preferences, helping to reduce decision paralysis through actionable suggestions.

Enables AI-powered knowledge management and creative support by connecting Scrapbox data to Claude. Supports advanced search, relationship analysis between pages, theme extraction, and literary analysis of personal knowledge bases.

An MCP server with RAG capabilities that provides AI clients secure access to local notes, documents, web pages, and task management tools for developer operational tasks. Features file operations, web scraping with content cleaning, and personal knowledge corpus search functionality.

An MCP server that exposes an Obsidian-style markdown vault as agent-readable memory. It provides tools for search, read, graph, and guarded capture without using embeddings.

Enables AI assistants to retain memory across sessions by storing conversations locally in Markdown files, allowing personalization and continuity without external servers.

A local MCP server for journaling, organizing, and recalling your work. It captures entries as plain markdown files, indexes them for full-text and structured search, and enables querying via natural language.

An MCP server that gives Claude AI direct access to your Obsidian vault, enabling natural language search, note creation, file management, and automated workflows.

An always-on AI chief-of-staff that manages tasks, calendar, notes, habits, and more through chat, with a private markdown vault and multimodal tools.

Enables AI assistants to search, read, and query handwritten notes backed up as PDFs on Google Drive via MCP, with OAuth authentication, multi-user support, and usage metering.

MCP server that provides AI-powered tools including YouTube search, trip planning, notes management, web search, product price comparison, and clock/alarm/reminder features with email notifications.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

Provides structured search, schema-validated writes, and linting for a markdown knowledge base, enabling agents to operate the wiki over a single streamable-HTTP MCP endpoint.

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.