"DotDog Domain Search Service" matching MCP servers:

Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.

Enables running Python and commands inside isolated, persistent Wasmer sandboxes on the host, while also exposing an Edge-deployed Postgres-backed service for storing notes and collecting feedback.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

Enables persistent memory for Claude Code sessions by recording observations and building knowledge graphs for cross-session learning and domain knowledge management.

MCP server that writes to Obsidian vaults via the obsidian-writer HTTP service. Supports managing inbox entries, lists, notes, and tasks.

Read-only semantic retrieval for agents that need to find the right Obsidian note without write access.

Connects to Memos note-taking service to read, write, search, filter, and manage memos, including creating comments and managing users.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

MCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.

Enables to interact with Memos note-taking service, allowing search, creation, retrieval, and updating of notes through natural language.

Enables full read/write automation of AFFiNE workspaces, documents, databases, journals, and comments through MCP tools over stdio or HTTP, supporting self-hosted and AFFiNE Cloud instances as well as multi-tenant deployments where each session supplies its own domain and credentials.

Enables local hybrid search over Obsidian and Markdown vaults via MCP, combining vector retrieval, full-text search, reranking, graph navigation, and safe CRUD while keeping data local.

A desktop MCP service that integrates voice assistants into Mac workflows, enabling Obsidian memory, app control, Claude Code sessions, pending actions, and multi-language HTTP access.

Enables agents to read, search, and propose durable knowledge stored as flat files in a GitHub repository, with every write opened as a pull request and domain owners approving changes in a web UI without touching git.

Enables Claude to add and search personal memories through the Nowledge Mem service. Allows users to store and retrieve contextual information across conversations.

Provides a hybrid search engine for Obsidian vaults, enabling LLM agents to query notes with BM25 keyword and vector semantic search, metadata filtering, and sibling-document retrieval.

Provides hybrid search (BM25 + vector) and staleness reporting for local markdown notes, exposing search and indexing tools to AI assistants via MCP.

MCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.