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

Provides a Docker container for managing markdown notes with semantic search and an MCP server to expose brain tools to AI clients like Claude.

Persistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.

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.

MCP server that turns a Markdown folder (e.g. Obsidian vault) into a second brain, capturing readings and ideas, connecting them as concepts, and resurfacing related notes on demand.

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.

Enables querying Tom Osborne's voice-cloned AI agent with a 21,000-article marketing knowledge base and his interview corpus to get answers in his voice.

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

Turns an Obsidian vault into semantic memory for coding agents, providing read-only semantic search and a human-approved write workflow via MCP.

Enables AI assistants to file notes into a self-hosted Obsidian vault and retrieve them later through structured and semantic search over plain Markdown.

Enables capturing, searching, and organizing Obsidian notes from Telegram via Hermes Agent (MCP).

Enables LLM clients to read, search, create, update, and delete notes in a self-hosted shared memory bank over MCP, using hybrid vector and full-text search with optional summarization.

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

Enables AI assistants to capture, search, update, and delete notes in a local Markdown vault with automatic categorization and tagging, making knowledge management seamless.

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

A small, authenticated remote MCP server that lets an AI app safely read and write one GitHub repository, built for a second-brain / Obsidian vault stored on GitHub.

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.

Provides tools to retrieve, ingest, and reindex a serverless personal knowledge base built from Obsidian wiki and external files, with hybrid semantic + keyword search via the Model Context Protocol.

A semantic search MCP server for codebases that uses OpenAI embeddings to understand natural language queries and find relevant code.

Read-only MCP tools for coding agents to audit deployment targets, detect fabricated code, review backlog, database schema, analytics, ML models, architecture docs, and decision lenses.

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.