Hive Vault

Name: Hive Vault
Author: mlorentedev

by mlorentedevversion 1.12.2i★ –iRuns on your computer

Registry nameio.github.mlorentedev/hive-vault

Install

Overview

Description from the maker (original English)

On-demand Obsidian vault access for AI coding assistants — 17 tools, 5 resources, 4 prompts.

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: Docs, sheets & office work
You need to fill in: OPENROUTER_API_KEY

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: VAULT_PATH, HIVE_OLLAMA_ENDPOINT, OPENROUTER_API_KEY, HIVE_VAULT_SCOPES

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

You need

PyPIPython’s uv installed (for the uvx 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": {
    "hive-vault": {
      "command": "uvx",
      "args": [
        "hive-vault"
      ],
      "env": {
        "VAULT_PATH": "your-value",
        "HIVE_OLLAMA_ENDPOINT": "your-value",
        "OPENROUTER_API_KEY": "your-value",
        "HIVE_VAULT_SCOPES": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add hive-vault --env VAULT_PATH=your-value --env HIVE_OLLAMA_ENDPOINT=your-value --env OPENROUTER_API_KEY=your-value --env HIVE_VAULT_SCOPES=your-value -- uvx hive-vault

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": {
    "hive-vault": {
      "command": "uvx",
      "args": [
        "hive-vault"
      ],
      "env": {
        "VAULT_PATH": "your-value",
        "HIVE_OLLAMA_ENDPOINT": "your-value",
        "OPENROUTER_API_KEY": "your-value",
        "HIVE_VAULT_SCOPES": "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": {
    "hive-vault": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hive-vault"
      ],
      "env": {
        "VAULT_PATH": "your-value",
        "HIVE_OLLAMA_ENDPOINT": "your-value",
        "OPENROUTER_API_KEY": "your-value",
        "HIVE_VAULT_SCOPES": "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

VAULT_PATH env
Absolute path to your Obsidian vault (or any Markdown directory)
HIVE_OLLAMA_ENDPOINT env
Ollama API endpoint for local worker delegation
OPENROUTER_API_KEY secret env
OpenRouter API key for cloud worker delegation
HIVE_VAULT_SCOPES env
JSON mapping of scope names to vault subdirectories

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 mlorentedev, 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 Docs, sheets & office worki

More stars than 0% of the other 2196 servers in this category
Published to the registry more recently than 10% of the other 2196 servers in this category
Basic checks equal to or better than 100% of the other 2196 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 Hive Vault 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: OPENROUTER_API_KEY

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 (1.12.2) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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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.

hive-vault

Your AI coding assistant forgets everything between sessions. Hive fixes that.

Hive is an MCP server that connects your AI assistant to an Obsidian vault. Instead of loading everything upfront, it queries only what's needed — on demand.

Metric	Without Hive	With Hive
Context loaded per session	~800 lines (static)	~50 lines (on demand)
Token cost for context	100% every session	0.6% for five project-context queries (real vault, 493K tokens)
Knowledge retained between sessions	0%	100% (in vault)

Only the token-cost row is a measurement (5 project-context queries on a real 493K-token vault; method and numbers in the benchmarks). The line counts and the retention row describe how the two setups work; they are not measured.

Quick Start

Hive runs without a vault — vault tools return a friendly error until VAULT_PATH is set, so you can install first and configure later.

# Minimal — uses default vault path ~/Projects/knowledge

claude mcp add -s user hive -- uvx --upgrade hive-vault

With a custom vault path

claude mcp add -s user hive -e VAULT_PATH=$HOME/path/to/vault -- uvx --upgrade hive-vault

Gemini CLI

gemini mcp add -s user -e VAULT_PATH=$HOME/path/to/vault hive-vault uvx -- --upgrade hive-vault

Default vault path: ~/Projects/knowledge. Override with VAULT_PATH (or HIVE_VAULT_PATH) as shown above.

For Codex CLI, GitHub Copilot, Cursor, Windsurf, and other clients, see Getting Started.

Then ask your assistant: *"Use vault_list to see my vault"*

Requirements

Hive degrades gracefully — every recommended or optional dependency reveals more capability without breaking the baseline.

Required
Python 3.12+ (works on 3.13).
A directory of markdown files. The vault structure used by 00_meta / 10_projects / 50_work / 80_agents / 05_research is optional — without it, vault tools still operate but the scope routing is flat.

Recommended
git initialised inside the vault. Without it, vault_write / vault_patch still write to disk; they just skip the per-write commit (and vault_commit reports the working tree as untracked).
The [Obsidian](https://obsidian.md) desktop app to author the vault by hand.
The [obsidian-git plugin](https://github.com/Vinzent03/obsidian-git) with auto-commit set to 5–10 minutes. Pair it with vault_write(commit=False) / vault_patch(commit=False) to push the git workload off the synchronous tool path; see *Recommended configuration* below.

Optional
Any OpenAI-compatible `/v1` endpoint as the worker for delegate_task / capture_lesson, set with HIVE_WORKER_BASE_URL, HIVE_WORKER_API_KEY and HIVE_WORKER_MODEL.
A backup git remote (e.g. private GitHub repo) so vault history survives a disk loss.

Recommended configuration

Per ADR-006 (commit policy), the recommended pairing for write-heavy flows is:

Install and enable the obsidian-git plugin in your vault.
Set its auto-commit interval to 5 or 10 minutes.
Call vault_write(..., commit=False) and vault_patch(..., commit=False) for all bulk operations.
Optionally call vault_commit(message="...") at the end of a session to force a checkpoint sooner than the obsidian-git tick.

vault_health reports a ## external_committer block when it detects obsidian-git in the vault. The commit=False durability contract is explicit: files are persisted to disk regardless; only the *commit* is deferred. A crash before the next flush loses the commit, not the content.

When a tool call is cancelled mid-flight (slow worker, client timeout), the server may have already mutated the disk before the cancel ack reaches the wire. vault_health surfaces a ## ghost_responses counter and emits a mcp.ghost_response.suppressed_after_cancel_ack WARNING for each event — verify state via vault_query rather than retrying, since the ErrorData ack does not imply rollback (ADR-007).

Daemon mode (optional)

The default uvx hive-vault runs a fresh server per session. Daemon mode instead runs one long-lived hive serve that owns the vault, with each stdio-only session connecting through hive client. The adapter starts without importing the Hive server or FastMCP, then relays JSON-RPC to the daemon's stable loopback endpoint. If the daemon or credential is unavailable, it fails explicitly rather than starting a competing in-process owner.

The default endpoint is a deterministic per-user port in 49152..65535, so an ordinary daemon restart does not invalidate client configuration. Override it with HIVE_DAEMON_PORT in both the daemon and every client environment when the derived port conflicts with another local service. hive serve --port changes only the daemon's bind port; it does not reconfigure hive client or hive delegate. Hive fails closed rather than silently moving to a different port. The owner-only bearer token persists across ordinary restarts in the daemon state directory. daemon.port remains diagnostic migration metadata, not client discovery state. See ADR-022.

Security hold: Until #456 is resolved, do not deploy daemon mode on untrusted multi-user hosts. The endpoint serves TLS with a per-user certificate that Hive's clients pin, so an impostor on the fixed port fails the handshake before any bearer is sent; the hold stays until the Linux and Windows evidence, including the cross-user check, is recorded.

uv tool install --upgrade hive-vault   # >= 1.32.0

hive service install # supervise hive serve (systemd --user / Task Scheduler) hive service status # exit 0 only if the listener proves the daemon's certificate

Run hive client from your MCP host. A host that can verify the daemon's certificate may connect directly to https://127.0.0.1: /mcp (for Node-based hosts, NODE_EXTRA_CA_CERTS pointing at daemon.crt in the state directory); never disable verification, and note that http:// no longer works. Never print or copy the token into logs or shell history.

To install a newer release, use the platform-specific command:

# Linux / macOS

uv tool upgrade hive-vault

Windows (the version is optional; omitted selects the latest PyPI release)

hive self-upgrade [version]

On Windows, self-upgrade builds the release beside the running files and atomically switches the managed runtime, avoiding in-use-file conflicts. Open a new terminal after the first managed upgrade so its PATH change is available. Once supervised, the daemon detects the new installed version, exits 75, and the supervisor restarts it into the new code. See the daemon mode guide and the activation runbook.

Tools

Tool	What it does
`vault_query`	Load project context, tasks, roadmap, lessons — or any file by path
`vault_search`	Full-text search with metadata filters, regex, ranked results, recent changes, lesson-usage ranking (`rank_by`)
`vault_list`	Browse projects and files with glob filtering
`vault_ask`	Optional semantic Q&A with source citations; disabled until an embeddings backend is configured (`[semantic]` extra)
`vault_health`	Server identity (version, vault path, backends), health metrics, drift detection, usage stats, opt-in runtime block
`vault_write`	Create, append, or replace vault files. `commit=False` defers the git commit for batching
`vault_patch`	Surgical find-and-replace. `commit=False` defers the git commit for batching
`vault_commit`	Flush pending `commit=False` writes into one git commit
`vault_delete`	Delete one file, committed synchronously so it stays recoverable from git history
`capture_lesson`	Capture lessons inline / batch-extract from text / look up existing lessons by keyword (`find=`)
`session_briefing`	Tasks + lessons + git log + health in one call
`delegate_task`	Route tasks to cheaper models or summarize vault files
`worker_status`	Whether the worker is configured and reachable, its model, and usage

Plus 5 resources and 4 prompts for guided workflows.

Lesson reinforcement

Every read of a lesson via vault_query, vault_search, or capture_lesson(find=…) increments a counter and grows that lesson's confidence asymptotically toward 1.0. Validated lessons rank higher than one-shot captures over time.

# Surface the top-ranked lessons matching a keyword

capture_lesson(project="hive", find="multi-process")

Search lessons ranked by usage signal (not BM25)

vault_search(query="timeout", rank_by="reinforcements") # most-reinforced first vault_search(query="timeout", rank_by="confidence") # highest decayed confidence vault_search(query="timeout", rank_by="hybrid") # α=0.7 BM25 + 0.3 confidence

Storage: SQLite side-table at HIVE_LESSON_DB_PATH (default ~/.local/share/hive/lesson_reinforcement.db). WAL mode + busy_timeout make it cross-process safe.

Architecture

MCP Host (Claude Code, Gemini CLI, Codex CLI, Cursor, ...)

└── hive-vault (MCP server, stdio) ├── Vault Tools (9) ── Obsidian vault (Markdown + YAML frontmatter) ├── Session Tools (1) ── Adaptive context assembly └── Worker Tools (3) ── one OpenAI-compatible endpoint, no internal fallback

Documentation

Full documentation at [mlorentedev.github.io/hive](https://mlorentedev.github.io/hive/):

Getting Started — install for all MCP clients
Configuration — all 19 environment variables
Vault Structure — how to organize your vault
Use Cases — real-world workflows
Architecture — module map and design decisions
Troubleshooting — common issues and fixes

Project-bound knowledge (docs-as-code) lives in docs/:

docs/adr/ — Architecture Decision Records
docs/runbooks/ — operational procedures
docs/troubleshooting/ — known issues and root-cause write-ups
docs/lessons.md — accumulated gotchas and post-mortems

Contributing

See CONTRIBUTING.md for setup and PR workflow.

Only the beginning is shown; read the rest in the repo

Hive Vault

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 Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

hive-vault

Quick Start

With a custom vault path

Gemini CLI

Requirements

Recommended configuration

Daemon mode (optional)

Windows (the version is optional; omitted selects the latest PyPI release)

Tools

Lesson reinforcement

Search lessons ranked by usage signal (not BM25)

Architecture

Documentation

Contributing