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Docs

Hjarni is a Markdown-based knowledge base with a built-in MCP server. These docs cover setup, concepts, and integrations.

Getting started Understand the model, create your first structure, connect an AI, and avoid common setup mistakes.

Reading paths

Connect your AI 7 guides

Hjarni for your AI tool 22 clients

Short landing pages with the exact MCP config for each client. See the compatibility matrix for every client at a glance.

Product concepts 8 guides

Teams and trust 12 guides

Teams and sharing

Team spaces, collaborators, and who can access what.

Set up your team

Create a team, structure shared folders, set team-level AI instructions, and invite your teammates. A step-by-step first-day setup.

Team billing and seats

How team pricing works: free to start, then per seat. What a seat includes, when seats bill, and how to manage them.

Single sign-on (Enterprise)

SAML 2.0 for login, SCIM 2.0 for provisioning. Works with Okta, Microsoft Entra, Auth0, and any SAML IdP.

Share a folder or note publicly

Turn any folder or single note into a public page, view-only or editable by anyone with the link.

Team audit log (Enterprise)

Per-team log of every view, edit, and access change across web, API, MCP, and public links. Available on request.

Two-factor authentication

Ask for a code from an authenticator app every time you sign in, with ten recovery codes for a lost phone. On every plan.

Passkeys

Sign in with Face ID, Touch ID, a fingerprint or your device PIN. Bound to hjarni.com, and no two-factor code on top. On every plan.

Privacy, permissions, and AI boundaries

What Hjarni does, what ChatGPT or Claude does, and what a connection grants.

Export and data ownership

What you can export, what format it uses, and what stays portable.

Import from Obsidian or Markdown

Bring your vault in with folders, wiki-links, and attachments intact.

Open Knowledge Format (OKF)

Export your knowledge as an OKF bundle: Markdown, YAML front-matter, folders, links, and a change log any AI agent can read. How OKF maps to Hjarni.

MCP and integrations 14 pages

What is MCP?

Model Context Protocol explained: what it is, how it works, who supports it.

MCP vs API

APIs are for your code. MCP is for your AI. When to use each.

MCP vs Custom GPTs

Uploaded files go stale. MCP gives your AI a live connection to the source.

Connect any MCP server to ChatGPT

General guide for adding any MCP server to ChatGPT.

Connect any MCP server to Claude

General guide for adding any MCP server to Claude.ai, Desktop, or Code.

Connect GitHub Copilot to MCP

Add an MCP server to Copilot Chat in VS Code via mcp.json. Mind the servers key.

Connect Copilot Studio to MCP

Add a server to a Microsoft Copilot Studio agent through the MCP onboarding wizard, plus the streaming-timeout fixes.

Connect Perplexity to MCP

Add a custom MCP connector so Perplexity can read your own notes.

Connect Cursor to MCP

Add any MCP server to Cursor via mcp.json, global or per-project, with OAuth on first run.

Connect Raycast to MCP

Install an MCP server in Raycast AI and ask your own notes from anywhere on the desktop.

MCP reference

Transport, OAuth, tools, prompts, limits, and troubleshooting.

REST API reference

Authentication, pagination, endpoints, request shapes, and response examples.

MCP Config Validator

Paste a claude_desktop_config.json and catch JSON errors, missing fields, and typos in your browser.

MCP fixes

The configuration errors that show up the first time you wire an MCP server into Cursor, Claude Desktop, Claude Code, ChatGPT, or VS Code. Each page is a focused, copy-paste fix.

Conceptual background 5 guides

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Works with Claude and ChatGPT today.