"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.

Enables AI assistants to search a shared local archive of selected sessions, notes, and connected sources, returning source-backed context and citations through read-only MCP access.

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 people and AI assistants to share one persistent Markdown-in-Git memory, so any MCP client can load current context, save sessions and decisions, search notes, and work from a team's real knowledge across machines.

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 give AI agents a shared, persistent Graph-RAG memory backed by an Obsidian-native vault, with hybrid search, token-budgeted recall, and memory updates.

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.

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.

Turns an Obsidian vault of plain Markdown notes into memory shared by every Claude client, so notes, people, meetings, and follow-ups carry across chats and devices. Provides tools to search, read, capture, write, and link notes, and to track people, organizations, connections, and interactions.

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.

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

Enables any Claude client to capture bullet notes into a GitHub-backed markdown vault's inbox and read files from that vault through the GitHub Contents API.

Lets every AI client search, read, write, and edit the same Markdown notes by keyword or meaning, with each change committed to Git.

Enables AI clients to search and append to a local Markdown knowledge base through MCP, with automatic incremental indexing and offline hybrid retrieval.

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.

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.

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.

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.

Runs a local, read-only knowledge graph over MCP, enabling graph queries, path finding, explanations, neighbor exploration, statistics, and god-node discovery without cloud dependencies.

Captures and organizes structured markdown notes from Claude Code sessions with automatic pattern detection, complexity analysis, advanced search, and weekly reports. Everything runs locally without external dependencies.

MCP server that provides persistent, structured memory using an Obsidian vault with the PARA method.