What is MCP, in plain English?

MCP (Model Context Protocol) is an open standard that lets AI assistants read data from apps you already use — securely and on demand. Think of it like giving your AI a key to a specific room, rather than the whole house.

Utspoken has a built-in MCP server. When you connect your AI assistant to it, the AI can look up your journal entries whenever you ask. Nothing is sent automatically — the AI only reads your entries when you ask it to.


Five things your AI can do with your journal.

Once connected, just ask in plain language. Your AI handles the rest.

Search your entries

Ask your AI to find everything you've said about a topic, a person, or an idea. It searches across all your entries and returns the relevant ones.

Read a specific day

"What did I record last Tuesday?" Your AI can pull up everything you said on a given date.

Browse a date range

Ask for everything from the past week, or between two dates. Useful for weekly reviews, reflections, or spotting patterns.

Create a new entry

Dictate to your AI and have it write the entry directly into your journal. Useful when you're in a flow and don't want to switch apps.

Set your timezone

Tell your AI which timezone you're in and it updates your account — entries will be grouped by the right local date.


How to set it up.

You'll need a paid Utspoken account and an AI assistant that supports MCP. The whole process takes about two minutes.

Generate a connection token in Utspoken Settings Go to Settings → AI access (MCP) → give your connection a name (e.g. "Claude desktop") → tap Generate. A setup email will land in your inbox straight away.
Open the email and copy your connection URL The email contains a ready-to-use URL with your token built in. It looks like this: https://mcp.utspoken.app/mcp?token=your-private-token
Add it to your AI tool as an MCP server In Claude desktop: go to Settings → Connectors → Add custom connector → paste the URL. In other tools, look for "Add MCP server" or "Custom connector" — the connection type is Streamable HTTP.
Approve the tools and start asking Your AI will list the available tools. Approve them, then ask something like "search my journal for entries about work stress" and watch it go.

Which AI tools work with Utspoken?

Any AI assistant that supports MCP over HTTP should work. We've tested Claude desktop — others follow the same pattern.

Claude desktop

Settings → Connectors → Add custom connector

Confirmed working

Cursor

Settings → MCP → Add server

Should work

Zed

Settings → Assistant → MCP servers

Should work

Any MCP-compatible tool

Use the URL above with connection type: Streamable HTTP

Should work

Privacy and your AI connection.

We want to be completely straight with you about what happens to your journal when you use MCP.

When you connect an AI, your entries travel to that AI's servers.

Utspoken stores your journal entries encrypted on our own servers. We never share them with anyone. But when you connect an AI assistant via MCP and ask it to read your entries, those entries are sent to the AI provider — for example, Anthropic if you're using Claude.

That's how MCP works — the AI reads your data to answer your question. The difference is that you're in control. You choose which AI to connect, when to use it, and you can revoke access at any time from your Settings. Nothing leaves Utspoken's servers unless you actively ask your AI to read something.

Before connecting, we'd suggest asking yourself: do I trust this AI provider's privacy policy? If you're using Claude, you can read Anthropic's privacy policy at anthropic.com. If you're using another tool, check theirs. This is your personal journal — the same care you'd apply to any sensitive document applies here.

Your token is the key. Treat it like a password — don't share it, and don't paste it into public places.
Your AI only reads entries when you ask. Nothing is sent automatically in the background.
You can revoke your connection at any time from Settings → AI access (MCP). The token stops working immediately.
Utspoken itself never reads your journal. Our transcription runs on our own servers and the results are encrypted.

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