Introduction
What is Notery?
Notery is a documentation hub for developers. It organises markdown notes and code files in a familiar folder structure, connects them with [[wiki-links]] and semantic search, and exposes everything through a REST API and MCP server that your AI tools can query programmatically.
Think of it as a personal engineering wiki — one that both you and your AI assistants can read from and write to.
Key Features
Semantic Search
Every document you create is automatically embedded using Cohere's embed-v4 model. Search queries are matched against these embeddings using pgvector, so you find relevant documents even when the exact keywords don't match.
Wiki-Links
Link between documents using [[document-title]] syntax. Notery resolves these links across your workspace and tracks backlinks, so you can see which documents reference each other.
REST API
Access your workspace programmatically through authenticated REST endpoints. Search documents, retrieve content, and integrate Notery into your existing workflows.
Claude Code Skills & MCP Server
Notery ships with an MCP server and Claude Code skills (notery-search, notery-get) that let AI assistants query your documentation directly. Give your AI tools access to your engineering knowledge base.
Quick Links
New to Notery? Start by creating a workspace, then generate an API key to connect your tools.
- API Keys — Create and manage keys for the REST API and MCP server.
- API Reference — Endpoints for searching and retrieving documents.
- Skills — Set up Claude Code skills to query Notery from your terminal.
- Guides — Walkthroughs for common workflows and integrations.