Keephaven MCP

Name: Keephaven MCP
Author: dafarusd

by dafarusdversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.dafarusd/keephaven-mcp

Install

Overview

Description from the maker (original English)

Agent memory on your own Keephaven home server: files, append-only journal, search.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: KEEPHAVEN_URL, KEEPHAVEN_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: KEEPHAVEN_URL, KEEPHAVEN_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "keephaven": {
      "command": "npx",
      "args": [
        "-y",
        "@dafarusd/keephaven-mcp"
      ],
      "env": {
        "KEEPHAVEN_URL": "your-value",
        "KEEPHAVEN_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add keephaven --env KEEPHAVEN_URL=your-value --env KEEPHAVEN_TOKEN=your-value -- npx -y @dafarusd/keephaven-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "keephaven": {
      "command": "npx",
      "args": [
        "-y",
        "@dafarusd/keephaven-mcp"
      ],
      "env": {
        "KEEPHAVEN_URL": "your-value",
        "KEEPHAVEN_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "keephaven": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dafarusd/keephaven-mcp"
      ],
      "env": {
        "KEEPHAVEN_URL": "your-value",
        "KEEPHAVEN_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

KEEPHAVEN_URL required env
The box's memory API, e.g. http://keephaven-xxxx.local:8790
KEEPHAVEN_TOKEN secret required env
Agent token from Settings > Agents on the box

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account dafarusd, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7249 servers in this category
Published to the registry more recently than 76% of the other 7249 servers in this category
Basic checks equal to or better than 100% of the other 7249 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Keephaven MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: KEEPHAVEN_URL, KEEPHAVEN_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

keephaven-mcp

Your agent's memory, on a box in your house. An MCP server that gives an AI agent a long-term memory stored on a Keephaven, not on a vendor's server.

Works with MCP clients that run local servers, like Claude Desktop, Claude Code and Cursor.

What the agent gets

Tool	What it does
`memory_write`	Save a file, like `people/dafarus.md` or `projects/keephaven.md`. Optional etag check so two sessions don't overwrite each other.
`memory_read`	Read a file back, with its etag.
`memory_list`	List files, optionally under a folder.
`memory_search`	Case-insensitive search across files and journal.
`memory_delete`	Delete a file.
`journal_append`	Add an entry to an append-only journal. The agent can add to it, never edit or delete it.
`journal_read`	Read recent journal entries, oldest first.
`memory_status`	Name, read-only or not, quota used.

What the owner keeps

Each agent gets its own folder and can't see any other agent's.
You add an agent in Keephaven's Settings > Agents and get a token, shown once. The box stores only a fingerprint of it.
Revoke cuts the agent off at once. Its files stay until you delete them.
Set a size limit per agent, or make one read-only.
If your Keephaven backs up to a second box, the agent's folder is part of that backup, and the backup box refuses every delete. That part isn't tested between two real boxes yet.

Set it up

On the Keephaven: Settings > Agents > Add an agent. Copy the two values it shows.
Add the server to your MCP client. For Claude Desktop, in claude_desktop_config.json:

"mcpServers": { "keephaven": { "command": "npx", "args": ["-y", "github:dafarusd/keephaven-mcp"], "env": { "KEEPHAVEN_URL": "http://keephaven-xxxx.local:8790", "KEEPHAVEN_TOKEN": "khm_..." } } } }

For Claude Code:

claude mcp add keephaven -e KEEPHAVEN_URL=http://keephaven-xxxx.local:8790 -e KEEPHAVEN_TOKEN=khm_... -- npx -y github:dafarusd/keephaven-mcp

It installs straight from GitHub, so the first start takes a minute while it builds. Needs Node 20 or newer.

The machine running the agent has to reach the box: same home network, the Keephaven's own Wi-Fi, or your Tailscale tailnet when Remote access is on.

Try it with no box

The box runs one Python file with no dependencies. Run that same file anywhere with Python 3:

python3 agent-memory.py serve --data ./mem --bind 127.0.0.1 --dev-token khm_try-it-locally

Then point the MCP server at http://127.0.0.1:8790 with that token. The file is modules/agent-memory.py in the Keephaven repo.

Status, honestly

The memory service is built and tested: 22 API tests, and a two-VM NixOS test where the service runs as its own locked-down user and a second machine uses it over the network.
This MCP server has 7 end-to-end tests: the official MCP client, this server over stdio, and the real memory service.
It ships in Keephaven Agent Memory, released 2026-10-25 for a Pi 5 and for a USB SSD on a Windows PC: https://keephaven.co/agent-memory. The Pi edition passed its release checks on one Pi 5, the SSD edition on a real drive on a Windows PC. Backup ran from a real Pi 5 (pre-release build) to a PC build in a VM over Tailscale — not yet between two real boxes. Keephaven Home has it too from 2026.10.30, switched off — turn it on in Settings > Agent memory. Photos boxes don't have it.
Tokens travel in plain HTTP on your home network, like the rest of the box's local pages. Over Tailscale they're encrypted.

Agent skill

skill/keephaven/ is an agent skill (a SKILL.md plus a read-only check.py): how to use a Keephaven as memory, and how to boot one in a VM and report what works. check.py was run against the Photos SSD image booted in QEMU: setup page, then ready, Photos up, Immich 3.0.3.

Built by @Dafarusd. MIT License.

Keephaven MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

keephaven-mcp

What the agent gets

What the owner keeps

Set it up

Try it with no box

Status, honestly

Agent skill