"A system for building an autonomous second brain" matching MCP servers:

This MCP server implements a second brain system, managing unvalidated investigation cases as JSON and validated knowledge as markdown files and skills. It provides tools for creating, updating, promoting cases, managing knowledge files, and performing semantic search.

Enables MCP clients to search and read notes from an Obsidian or markdown vault through four governed tools, with enforced read-only access, a page budget, and path sandboxing.

MCP server that ingests YouTube videos and podcasts, making them searchable with timestamps and deep links to exact moments.

Self-hosted semantic memory layer for Claude and MCP-compatible AI clients. Store notes, search by meaning not keywords, and recall relevant context automatically across sessions. Runs free on Cloudflare Workers, D1, Vectorize, and Workers AI

Self-maintaining personal knowledge database — MCP server with figure-level search, auto-wikilinks, and Ebbinghaus-based memory compression

An MCP server that exposes an Obsidian vault to Claude, enabling reading, searching, writing notes, capturing voice thoughts, and managing tasks. It enforces vault filing rules in code, with path confinement and no hard deletes for safety.

Local MCP server that automates an open Obsidian vault through Obsidian's official CLI, offering tools for note creation/update, search, tasks, daily notes, and organization. It uses MCP over STDIO, requires no cloud services, and provides safety/audit features for autonomous writes.

Provides semantic search, note retrieval, source explanation, daily digests, and health checks for a local Obsidian vault, enabling MCP clients like Claude Desktop and Claude Code to query the second brain via natural language.

Enables read-only access to Obsidian vaults with semantic search, tag filtering, and metadata queries. Provides secure, intelligent note retrieval and summarization for LLMs without modifying your vault.

Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.

Connects claude.ai to a private GitHub repo of markdown files as a personal second brain, providing guarded read and write tools for knowledge management.

A personal second brain on Cloudflare Workers that stores knowledge as a semantic graph with auto-linking, deduplication, and MCP tools for AI agents to save, search, and connect information.

Self-hosted MCP server for collecting, searching, and sharing agent session history from Claude Code, Codex, and Cursor, with repository scoping and token-based authentication.

Provides comprehensive building and office address information queries for enterprises in China, including fuzzy enterprise search, office address details and statistics, and building information queries to support geographical distribution and occupancy analysis.

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.

Enables AI assistants to query your local browsing history using keyword search, RAG Q&A, and activity stats.

Cognitive prosthetic for AI agents. Indexes conversation history from ChatGPT, Claude Code, Cursor, and Gemini CLI into searchable embeddings. 25 MCP tools including tunnel_state (resume where you left off), switching_cost (quantify context-switch penalty), thinking_trajectory (track idea evolution), and alignment_check (decisions vs principles). LanceDB + Parquet, 12ms recall, local-first.

Enables hybrid dense and BM25 search over a markdown vault, with tools for reading, writing, grepping, and managing notes through any MCP-compatible client.

Local-first knowledge system for reasoning agents, exposing facts, evidence, documents, retrieval, and audit history through a thin stdio MCP server.

An MCP server that enables AI agents to search, read, and contribute to a structured markdown knowledge base with citations, freshness tracking, and a safe write path, providing a shared, auditable company memory.