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Hive Vault MCP Server

io.github.mlorentedev/hive-vault

On-demand Obsidian vault access for AI assistants — persistent knowledge without loading everything upfront.

What is the Hive Vault MCP server?

The Hive Vault MCP server connects your AI coding assistant to an Obsidian vault, enabling persistent knowledge retrieval across sessions without loading entire vaults upfront. It provides on-demand querying of project context, tasks, lessons, and files with full-text search, git integration, and optional worker delegation to cheaper models.

Hive solves the problem of AI assistants forgetting context between sessions by giving them direct access to your Obsidian vault. Instead of loading static context upfront (consuming tokens and context), it queries only what's needed on demand. This reduces token cost by ~94% per query while retaining 100% of your knowledge in the vault. It includes tools for reading, writing, searching, and reinforcing lessons learned, plus optional integration with Ollama or OpenRouter for delegating tasks to cheaper models.

How to install Hive Vault

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • VAULT_PATH

    Absolute path to your Obsidian vault (or any Markdown directory)

  • HIVE_OLLAMA_ENDPOINT

    Ollama API endpoint for local worker delegation

  • OPENROUTER_API_KEY
    secret

    OpenRouter API key for cloud worker delegation

  • HIVE_VAULT_SCOPES

    JSON mapping of scope names to vault subdirectories

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "hive-vault": {
      "command": "uvx",
      "args": [
        "hive-vault"
      ],
      "env": {
        "VAULT_PATH": "<YOUR_VAULT_PATH>",
        "HIVE_OLLAMA_ENDPOINT": "<YOUR_HIVE_OLLAMA_ENDPOINT>",
        "OPENROUTER_API_KEY": "<YOUR_OPENROUTER_API_KEY>",
        "HIVE_VAULT_SCOPES": "<YOUR_HIVE_VAULT_SCOPES>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • 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, and lesson-usage ranking
  • vault_list — Browse projects and files with glob filtering
  • vault_health — Server identity, health metrics, drift detection, usage stats, and optional runtime block
  • vault_write — Create, append, or replace vault files with optional deferred git commit
  • vault_patch — Surgical find-and-replace with optional deferred git commit
  • vault_commit — Flush pending writes into one git commit
  • capture_lesson — Capture lessons inline, batch-extract from text, or look up existing lessons by keyword
  • session_briefing — Retrieve tasks, lessons, git log, and health in one call
  • delegate_task — Route tasks to cheaper models or summarize vault files
  • worker_status — Check budget, connectivity, and available models for delegation

Use cases

  • Maintain persistent project context and lessons across multiple AI coding sessions without reloading entire vaults
  • Search and retrieve specific knowledge from your vault on demand to reduce token usage and context window pressure
  • Capture and reinforce lessons learned during coding sessions, with confidence scoring based on usage patterns
  • Delegate expensive summarization or coding tasks to cheaper models (Ollama or OpenRouter) while keeping your main assistant focused
  • Organize and query project-specific documentation, roadmaps, and task lists directly from your Obsidian vault

Hive Vault MCP server FAQ

What is Hive Vault?

Hive Vault is an MCP server that connects your AI assistant to an Obsidian vault, enabling on-demand knowledge retrieval across sessions. Instead of loading everything upfront, it queries only what's needed, reducing token cost by ~94% per query while retaining 100% of your knowledge.

Is Hive Vault free?

Yes, Hive Vault is open-source (MIT license) and free to use. Optional features like Ollama (free local models) or OpenRouter (paid, with a $1/month cap) are available for task delegation but not required.

How do I install Hive Vault in Claude or Cursor?

Install via: `claude mcp add -s user hive -- uvx --upgrade hive-vault` (Claude), or follow the Getting Started guide at mlorentedev.github.io/hive for Cursor, Codex CLI, GitHub Copilot, and other clients. Set `VAULT_PATH` to point to your Obsidian vault directory.

What are the system requirements?

Python 3.12+ is required. A git-initialized vault directory is recommended for commit tracking. Obsidian desktop app and obsidian-git plugin are optional but recommended for authoring and auto-commit. Ollama or OpenRouter API key are optional for task delegation.

Does Hive Vault require authentication?

No authentication is required for basic vault operations. Optional OpenRouter API key (`OPENROUTER_API_KEY`) enables paid task delegation; Ollama is free and local. Daemon mode uses a bearer token for local security but no external auth.

Can I use Hive Vault without an Obsidian vault?

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

README (reference)

Source of truth, from the repository.

hive-vault

CI codecov PyPI Python 3.12+ Docs License: MIT

<a href="https://glama.ai/mcp/servers/mlorentedev/hive"> <img width="380" height="200" src="https://glama.ai/mcp/servers/mlorentedev/hive/badge" /> </a> <!-- mcp-name: io.github.mlorentedev/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.

MetricWithout HiveWith Hive
Context loaded per session~800 lines (static)~50 lines (on demand)
Token cost for context100% every session6% average per query
Knowledge retained between sessions0%100% (in vault)

Measured on a real vault with 19 projects, 200+ files. See benchmarks.

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 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 desktop app to author the vault by hand.
    • The obsidian-git plugin 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

    • Ollama running qwen2.5-coder:7b (or compatible) for local, free delegate_task / capture_lesson worker calls.
    • An OpenRouter API key (OPENROUTER_API_KEY) as a free-tier and paid fallback worker.
    • 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:

  1. Install and enable the obsidian-git plugin in your vault.
  2. Set its auto-commit interval to 5 or 10 minutes.
  3. Call vault_write(..., commit=False) and vault_patch(..., commit=False) for all bulk operations.
  4. 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.

uv tool install --upgrade hive-vault   # >= 1.32.0
hive service install                   # supervise hive serve (systemd --user / Task Scheduler)

HTTP-capable clients should connect directly to http://127.0.0.1:<derived-or-overridden-port>/mcp; stdio-only clients should run hive client. 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

ToolWhat it does
vault_queryLoad project context, tasks, roadmap, lessons — or any file by path
vault_searchFull-text search with metadata filters, regex, ranked results, recent changes, lesson-usage ranking (rank_by)
vault_listBrowse projects and files with glob filtering
vault_healthServer identity (version, vault path, backends), health metrics, drift detection, usage stats, opt-in runtime block
vault_writeCreate, append, or replace vault files. commit=False defers the git commit for batching
vault_patchSurgical find-and-replace. commit=False defers the git commit for batching
vault_commitFlush pending commit=False writes into one git commit
capture_lessonCapture lessons inline / batch-extract from text / look up existing lessons by keyword (find=)
session_briefingTasks + lessons + git log + health in one call
delegate_taskRoute tasks to cheaper models or summarize vault files
worker_statusBudget, connectivity, available models

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 (7) ── Obsidian vault (Markdown + YAML frontmatter)
            ├── Session Tools (1) ── Adaptive context assembly
            └── Worker Tools (2) ── Ollama (free) → OpenRouter free → paid ($1/mo cap) → reject

Documentation

Full documentation at mlorentedev.github.io/hive:

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

Contributing

See CONTRIBUTING.md for setup and PR workflow.

git clone https://github.com/mlorentedev/hive.git && cd hive
make install   # create venv + install deps
make check     # lint + typecheck + test (478 tests, 90% coverage)

License

MIT

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