Which integrations are available for this server?

Analyzes Obsidian vaults to provide intelligent insights, change tracking, and comprehensive reporting for knowledge management.

How do I use background-vault-analysis?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@background-vault-analysis scan my vault for health issues" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

background-vault-analysis

by MikeyBeez

Overview Schema Related Servers Score Discussions

TypeScript

Local

Background Vault Analysis System 🧠✨

A lightweight MCP (Model Context Protocol) server for intelligent, non-invasive analysis of Obsidian vaults. Provides actionable insights, change tracking, and comprehensive reporting to improve your knowledge management practices.

🚀 Features

🔍 Intelligent Vault Analysis

Non-invasive scanning - Reads your vault without making any changes
Markdown parsing - Extracts links, tags, frontmatter, and content structure
Orphan detection - Identifies isolated notes that need connections
Hub identification - Finds your most connected knowledge centers
Content metrics - Word counts, link density, and structural analysis

💡 Actionable Insights

Prioritized recommendations - High/medium/low priority actionable suggestions
Structural insights - Improve vault organization and connectivity
Content guidance - Optimize note length and detail
Productivity tracking - Monitor writing patterns and vault growth

📊 Change Monitoring

File-level tracking - Monitor additions, modifications, and deletions
Activity patterns - Identify productive periods and trends
Evolution analysis - Track how your vault grows over time
Daily summaries - See recent activity at a glance

📋 Flexible Reporting

Markdown reports - Human-readable analysis summaries
JSON exports - Structured data for programmatic use
CSV formats - Data analysis and spreadsheet integration
Customizable sections - Focus on what matters to you

Related MCP server: obsidian-codex-mcp

🛠️ Installation & Setup

Prerequisites

Node.js v18 or higher
Obsidian vault (any size)
MCP-compatible client (Claude Desktop, etc.)

Quick Start

Clone and build:

git clone <repository-url> background-vault-analysis
cd background-vault-analysis
npm install
npm run build

Test the system:

node dist/test.js

Configure your MCP client:

Add to your MCP configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "background-vault-analysis": {
      "command": "node",
      "args": ["/path/to/background-vault-analysis/dist/index.js"]
    }
  }
}

📋 Available Tools

🔍 `scan_vault`

Performs comprehensive analysis of your Obsidian vault.

Parameters:

vaultPath (required) - Path to your Obsidian vault
mode - Analysis depth: quick, deep, or incremental (default: quick)
focus - Analysis focus: health, content, relationships, or all (default: all)

Example:

await mcp.call('scan_vault', {
  vaultPath: '/Users/username/Documents/MyVault',
  mode: 'deep',
  focus: 'all'
});

💡 `get_insights`

Retrieves actionable insights and recommendations.

Parameters:

vaultPath (required) - Path to your vault
category - Filter by: orphans, connections, gaps, productivity, or all (default: all)
timeframe - Time range: day, week, month, or all (default: all)
priority - Priority filter: high, medium, low, or all (default: all)

Example:

await mcp.call('get_insights', {
  vaultPath: '/Users/username/Documents/MyVault',
  category: 'orphans',
  priority: 'high'
});

📊 `track_changes`

Monitors vault evolution and activity patterns.

Parameters:

vaultPath (required) - Path to your vault
since - Start date for analysis (ISO format, optional)
granularity - Time resolution: hourly, daily, or weekly (default: daily)

Example:

await mcp.call('track_changes', {
  vaultPath: '/Users/username/Documents/MyVault',
  since: '2024-01-01',
  granularity: 'daily'
});

📋 `generate_report`

Creates comprehensive analysis reports.

Parameters:

vaultPath (required) - Path to your vault
format - Report format: markdown, json, or csv (default: markdown)
sections - Include sections: ['overview', 'insights', 'metrics', 'changes']
timeframe - Analysis period (optional)

Example:

await mcp.call('generate_report', {
  vaultPath: '/Users/username/Documents/MyVault',
  format: 'markdown',
  sections: ['overview', 'insights', 'metrics']
});

💾 Data Storage

The system stores analysis data in your home directory:

~/.background-vault-analysis/
├── vaults.json          # Vault registry
├── snapshots.json       # Analysis snapshots
├── insights.json        # Generated insights
└── changes.json         # Change tracking data

Privacy: All data stays local on your machine. No cloud storage or external services.

🎯 Usage Examples

Daily Vault Health Check

// Quick scan for immediate insights
const analysis = await mcp.call('scan_vault', {
  vaultPath: '/Users/username/MyVault',
  mode: 'quick',
  focus: 'health'
});

// Get high-priority recommendations
const insights = await mcp.call('get_insights', {
  vaultPath: '/Users/username/MyVault',
  priority: 'high'
});

Weekly Progress Review

// Track changes over the past week
const changes = await mcp.call('track_changes', {
  vaultPath: '/Users/username/MyVault',
  since: '2024-08-01',
  granularity: 'daily'
});

// Generate comprehensive report
const report = await mcp.call('generate_report', {
  vaultPath: '/Users/username/MyVault',
  format: 'markdown'
});

Deep Vault Analysis

// Full analysis with all insights
const analysis = await mcp.call('scan_vault', {
  vaultPath: '/Users/username/MyVault',
  mode: 'deep',
  focus: 'all'
});

// Export data for external analysis
const dataExport = await mcp.call('generate_report', {
  vaultPath: '/Users/username/MyVault',
  format: 'json'
});

🔧 Architecture

Components

AnalysisDatabase - JSON-based local storage
VaultAnalyzer - Core scanning and analysis engine
InsightGenerator - Recommendation and insight creation
ChangeTracker - File modification monitoring
ReportGenerator - Multi-format report creation

Design Principles

Non-invasive - Only reads, never modifies your vault
Lightweight - Minimal dependencies and fast execution
Local-first - All data stored locally for privacy
Extensible - Modular design for easy feature additions

📊 Sample Output

Analysis Results

🔍 Vault Analysis Complete

Path: /Users/username/MyVault
Mode: quick
Focus: all

Results:
- Notes analyzed: 247
- Links found: 1,156
- Orphans detected: 23
- Analysis time: 145ms

Key Findings:
- Large vault with 247 notes - consider organization strategies
- High linking density (4.7 links/note) - excellent connectivity
- Low orphan rate (9%) - excellent note connectivity
- Found 12 hub notes with 10+ backlinks - great knowledge centers

Insights Example

💡 Vault Insights (all | all priority)

Found 3 actionable insights:

**23 Orphaned Notes Found** (medium)
9% of your notes (23 out of 247) have no incoming links, making them difficult to discover.
Action: Review orphaned notes and create connections to related content. Start with recent notes or those with valuable information.

**Knowledge Hub Notes Identified** (low)
You have 12 notes that serve as knowledge hubs with many connections. These are valuable reference points.
Action: Maintain and expand these hub notes. Consider adding overviews, summaries, or organizing them as MOCs (Maps of Content).

**Strong Note Connectivity** (low)
Your notes average 4.7 backlinks each, indicating good interconnectedness.
Action: Continue building connections between ideas. Consider creating overview notes that link to clusters of related content.

🤝 Contributing

This is a focused, lightweight tool designed for personal knowledge management. The codebase is well-structured and documented for easy understanding and modification.

Development Setup

npm install
npm run build
npm run test  # Run the test suite
npm run dev   # Build and run in development mode

Code Structure

src/
├── analysis/           # Core analysis components
│   ├── vault-analyzer.ts
│   └── change-tracker.ts
├── database/           # Data storage
│   └── analysis-db.ts
├── insights/           # Insight generation and reporting
│   ├── insight-generator.ts
│   └── report-generator.ts
├── index.ts           # Main MCP server
├── types.ts           # TypeScript definitions
└── test.ts            # Test suite

📄 License

MIT License - Use freely for personal and commercial projects.

Obsidian - The knowledge management application
Model Context Protocol - The underlying communication protocol
Brain Manager - Comprehensive project and knowledge management system

Built with ❤️ for the Obsidian community

Helping you understand and improve your knowledge management practices through intelligent analysis.

Available Tools

4 tools

generate_reportC

Create comprehensive analysis report in specified format

ParametersJSON Schema

Name	Required	Description	Default
`format`	No	Report format	markdown
`sections`	No	Report sections to include
`timeframe`	No	Analysis timeframe
`vaultPath`	Yes	Path to the vault

TDQS

C2.9/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of explaining side effects, permissions, and scope. It only says 'create', implying output generation, but does not disclose whether it writes files, modifies vault data, or returns a report directly.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no filler. It front-loads the action and output type, though it may sacrifice substance for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema and annotations, the description lacks vital context about what the report contains, how the analysis is performed, and what the function returns. It is too minimal for a tool with four parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides descriptions for all parameters (100% coverage), so the baseline is 3. The description adds no extra meaning to the parameters beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear verb ('create') and resource ('analysis report'), and mentions format flexibility. It does not explicitly differentiate from sibling tools like get_insights, but the name and action make its role as a report generator evident.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus scan_vault, get_insights, or track_changes. It does not state prerequisites, use cases, or conditions that indicate this tool is the right choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_insightsC

Retrieve actionable insights from vault analysis

ParametersJSON Schema

Name	Required	Description	Default
`category`	No	Insight category filter	all
`priority`	No	Priority filter	all
`timeframe`	No	Time range for insights	all
`vaultPath`	Yes	Path to the vault

TDQS

C2.9/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations available, the description carries the full burden. It implies a read operation ('retrieve') but does not disclose whether insights are precomputed or generated on-the-fly, what the response format is, or any side effects. This leaves significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads the action ('Retrieve actionable insights') and adds the source context. There is no wasted wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of an output schema and annotations, the description is too sparse. It does not explain what the insights represent, how the filters interact, or what a returned result looks like. The tool's role among its siblings is not clarified, so the description is incomplete for an agent with no other context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides descriptions for all four parameters, including enums for category, priority, and timeframe. The description adds no parameter-specific information, but the schema itself is fully self-explanatory, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the verb 'retrieve' and identifies the resource as 'actionable insights from vault analysis', clearly stating the tool's function. It does not explicitly mention the insight categories (orphans, connections, gaps, productivity) or distinguish it from generate_report, but the purpose is generally clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like scan_vault, track_changes, or generate_report. There are no exclusions, prerequisites, or contextual clues beyond the vague 'from vault analysis'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

scan_vaultC

Perform comprehensive background analysis of Obsidian vault

ParametersJSON Schema

Name	Required	Description	Default
`mode`	No	Analysis mode	quick
`focus`	No	Analysis focus area	all
`vaultPath`	Yes	Path to the Obsidian vault directory

TDQS

C2.5/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the full disclosure burden. It only hints that the analysis runs in the background, but fails to mention whether it is read-only, if it modifies the vault, performance implications, or what the return value looks like. This is minimal behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. However, it is under-specified, which undermines the value of its brevity. It is concise but not sufficiently informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 3 parameters, 2 enums, no output schema, and no annotations, the description is far too thin. It does not explain how mode/focus affect results, what outputs are provided, or how it fits with sibling tools. The description is inadequate for effective tool selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all parameters have basic descriptions (e.g., 'Analysis mode', 'Analysis focus area'). The tool description adds no extra meaning to the parameters, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('perform') and resource ('Obsidian vault'), but 'comprehensive background analysis' is vague and doesn't specify what the scan actually inspects (health, content, relationships). It also doesn't differentiate from sibling tools like get_insights, which may similarly analyze vault data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool instead of alternatives, nor which mode/focus to select for different scenarios. The description does not mention any exclusions, prerequisites, or comparisons with sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

track_changesC

Monitor vault evolution and changes over time

ParametersJSON Schema

Name	Required	Description	Default
`since`	No	Start date (ISO format, optional)
`vaultPath`	Yes	Path to the vault
`granularity`	No	Time granularity	daily

TDQS

C2.9/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavior, but it only says 'monitor' with no details on side effects, return format, or performance implications. It does not explain whether this is a read-only operation, what data it returns, or how changes are tracked, which is a significant gap for a monitoring tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler words or redundant information. It is front-loaded and appropriately sized for a one-line description, though the brevity comes at the cost of detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 3 parameters (one required, one with enums) and no output schema or annotations. The description fails to explain what the tool returns, how the optional parameters affect results, or any practical usage context. This is completely inadequate for a tool that could involve querying historical changes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter already has a description. The tool description adds no additional meaning about how these parameters affect behavior, so the baseline score applies without extra credit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('monitor') and resource ('vault evolution and changes over time'), which conveys the core function. It is distinguishable from sibling tools like scan_vault and generate_report, though it could be more explicit about what kind of output is produced.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. Sibling tools exist, but the description does not mention any use cases, exclusions, or selection criteria, leaving the agent to infer based solely on the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

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TDQS

B3.3/5.0

Disambiguation5/5

Each tool has a clearly distinct purpose: scanning the vault, retrieving insights, tracking changes, and generating reports. The actions and targets are specific enough that an agent would not confuse them.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using lowercase with underscores (scan_vault, get_insights, track_changes, generate_report). The naming is uniform and predictable.

Tool Count5/5

With only 4 tools, the server is well-scoped for its purpose of background vault analysis. Each tool covers a distinct step in the workflow without unnecessary bloat or missing essentials.

Completeness4/5

The tool set covers the core lifecycle of analysis: initiating a scan, retrieving insights, tracking changes, and producing a report. Minor gaps include lack of explicit status/management tools for scans or reports, but these are not critical for the stated purpose.

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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Background Vault Analysis System 🧠✨

🚀 Features

🔍 Intelligent Vault Analysis

💡 Actionable Insights

📊 Change Monitoring

📋 Flexible Reporting

🛠️ Installation & Setup

Prerequisites

Quick Start

📋 Available Tools

🔍 scan_vault

💡 get_insights

📊 track_changes

📋 generate_report

💾 Data Storage

🎯 Usage Examples

Daily Vault Health Check

Weekly Progress Review

Deep Vault Analysis

🔧 Architecture

Components

Design Principles

📊 Sample Output

Analysis Results

Insights Example

🤝 Contributing

Development Setup

Code Structure

📄 License

🔗 Related Projects

Available Tools

Maintenance

Resources

Looking for Admin?

Related MCP Connectors

Related MCP Servers

Latest Blog Posts

MCP directory API

🔍 `scan_vault`

💡 `get_insights`

📊 `track_changes`

📋 `generate_report`