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  1. Home
  2. ๐Ÿง  Knowledge & Memory
  3. Hive
Hive logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 7:04:40 PM

Hive

User RatingsBe the first to rate and review this MCP server!
View Repository10 GitHub StarsTotal stargazers on GitHub for the source repository (10 stars).Visit Website
obsidianknowledge-managementfile-systemsdeveloper-tools

Connects MCP clients to an Obsidian vault for on-demand context, search, editing, lesson capture, and git-backed session memory.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mlorentedev-hive": {
      "command": "uvx",
      "args": [
        "--upgrade"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (11) Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

The mlorentedev/hive MCP server connects MCP clients to an Obsidian vault containing Markdown files and YAML frontmatter. It loads project context on demand, searches and edits vault content, captures lessons, reports vault health, and assembles session briefings instead of requiring the whole vault in every prompt. Optional worker routing uses local Ollama or OpenRouter for delegation and summarization. Reach for it when an AI coding workflow needs persistent project knowledge, task context, searchable lessons, or controlled vault updates.

Use cases

โ€ขLoad project tasks and roadmap context on demand
โ€ขSearch an Obsidian vault for reinforced lessons
โ€ขBatch-edit Markdown files and commit them together
โ€ขCapture reusable lessons from agent output
โ€ขDelegate summaries to local or remote worker models

Key features

โ€ขOn-demand Obsidian vault context
โ€ขFull-text and ranked search
โ€ขMarkdown file creation and patching
โ€ขDeferred and batched git commits
โ€ขLesson capture and reinforcement
โ€ขOptional Ollama and OpenRouter delegation

Capabilities & Tool Schemas (11) ~232 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Hive.

vault_query

Load project context, tasks, roadmap, lessons โ€” 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_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

How Hive works

What mlorentedev/hive MCP server does

The mlorentedev/hive MCP server gives an MCP client access to an Obsidian vault stored as a directory of Markdown files. It supports targeted reads rather than loading the entire vault into every session. Agents can retrieve project context, tasks, roadmaps, lessons, or a specific file with vault_query; search content with metadata filters, regular expressions, ranked results, recent-change ordering, or lesson-reinforcement ranking; and browse files with glob filters.

The server also provides write operations. vault_write creates, appends to, or replaces files, while vault_patch performs a focused find-and-replace. Both can defer the git commit, allowing several changes to be grouped before vault_commit creates one commit. capture_lesson records lessons, extracts multiple lessons from text, or finds existing lessons by keyword. session_briefing combines tasks, lessons, git history, and health information in one request.

How it works

The server runs over MCP using stdio and reads the configured vault directly from disk. The default vault location is ~/Projects/knowledge; VAULT_PATH or HIVE_VAULT_PATH can select another directory. A structured layout using directories such as 00_meta, 10_projects, 50_work, and 80_agents is supported but not required. Without that structure, vault operations continue with flat scope routing.

Lesson reads through vault_query, vault_search, or capture_lesson(find=...) update reinforcement data. This data is stored in a SQLite side-table, with the default path at ~/.local/share/hive/lesson_reinforcement.db. Search can use reinforcement, confidence, or a hybrid ranking mode.

Optional worker features route tasks or vault-file summarization through Ollama first, then OpenRouter according to available connectivity and budget. worker_status reports budget, connectivity, and available models. Ollama can provide a local worker, while OpenRouter requires an API key.

Setup and configuration

Install the mlorentedev/hive MCP server with Python 3.12 or newer and the hive-vault package through uvx. The server can start before a vault is configured; vault tools return an explanatory error until a path is available. A git repository inside the vault is recommended for commit support, but writing still works without git and skips per-write commits.

Obsidian is optional for authoring the files manually. The obsidian-git plugin can perform periodic commits, while calls using commit=False keep file persistence separate from commit timing. A backup git remote can protect vault history from disk loss. Daemon mode is also available through the hive command for long-lived ownership of the vault and concurrent sessions, but the standard uvx --upgrade hive-vault process is the basic setup.

Tools and capabilities

  • Query project context or individual files.
  • Search Markdown content with filters, regex, and ranking options.
  • List projects and files with glob matching.
  • Inspect identity, health metrics, drift, usage, and worker information.
  • Create, append, replace, patch, and commit vault content.
  • Capture, extract, and reinforce reusable lessons.
  • Delegate tasks or summarize vault files with optional workers.

Limitations and notes

The mlorentedev/hive MCP server requires Python 3.12 or later and a Markdown-file directory for useful vault operations. Git commits depend on git being initialized in the vault. Deferred commits persist file changes immediately, but a crash before the next commit can lose the commit itself. A cancelled tool call may have changed the disk before the cancellation acknowledgement arrives, so state should be checked with vault_query before retrying.

Ollama and OpenRouter workers are optional rather than prerequisites. OpenRouter use requires the user's OPENROUTER_API_KEY; the baseline vault tools do not require an external service. The server reports health and worker details through its MCP tools, and it includes five resources and four prompts for guided workflows according to the project documentation.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
10
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
11
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Hive

Install it with Python 3.12+ using `uvx --upgrade hive-vault`. The README also shows client-specific MCP configuration examples.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsCursor, Windsurf
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars10
GitHub Star CountTotal stargazers on GitHub representing community popularity (10 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 10, 2026
57Quality signal: Good ยท 57/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools29/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

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Scanned 19d ago via OSV.dev ยท --upgrade (PyPI)

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