Mcp Knowledge Gaps

onetrueclaude-creator/mcp-knowledge-gaps

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Summary

Scans your markdown knowledge base (Obsidian, Logseq, or any folder of .md files) and surfaces concepts that appear across multiple notes but never get their own explanation. The free tier gives you find_gaps and list_gaps_by_priority, which rank missing concepts by frequency, diversity, and novelty. Pro adds generate_research_questions for guided learning, surprise_research_topic for sortition sampling from the long tail to break confirmation bias, and export_review_queue to pipe gaps into spaced repetition tools. Licenses verify offline via JWT. Reach for this when your second brain has grown large enough that you've lost track of what you reference but never actually learned.

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mcp-knowledge-gaps

Find what your knowledge base mentions but doesn't actually explain.

Find concepts mentioned but never defined in your markdown knowledge base (Obsidian vault, Logseq graph, any folder of .md files). Uses fuzzy canonicalization to avoid false positives, ranks gaps by frequency × region-diversity × novelty, generates prioritized research questions, and samples from the long tail via sortition to break confirmation bias in your research queue.

Install

pip install mcp-knowledge-gaps
# or
uvx mcp-knowledge-gaps

Usage

Claude Code

claude mcp add mcp-knowledge-gaps -- mcp-knowledge-gaps

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "knowledge_gaps": {
      "command": "uvx",
      "args": ["mcp-knowledge-gaps"]
    }
  }
}

MCP Tools

Tool	Tier	Description
`find_gaps`	Free	Scan a markdown vault and return concepts mentioned in multiple notes but without their own dedicated note. Applies fuzzy canonicalization and noise filtering.
`list_gaps_by_priority`	Free	Return gaps ranked by priority: frequency × diversity × novelty (higher = fill this gap first).
`generate_research_questions`	Pro	Generate prioritized research questions for the top N gaps. Each question comes with a priority score and factor breakdown.
`surprise_research_topic`	Pro	Sortition sampling — pick a random gap from the LOW-priority long tail. Breaks confirmation bias by surfacing topics you'd never pick yourself.
`export_review_queue`	Pro	Export a CSV of top-priority gap concepts, suitable for Anki or other spaced-repetition tools. Writes to output_csv and returns the row count.

Pro tier

Unlocks research question generation with RL-weighted ranking, sortition sampling of long-tail gaps, and CSV review queue export.

License activation — any one of these works:

# 1. Environment variable
export KNOWLEDGE_GAPS_LICENSE="eyJhbGc..."

# 2. CLI flag
mcp-knowledge-gaps --license-key "eyJhbGc..."

# 3. Config file
echo "eyJhbGc..." > ~/.mcp-knowledge-gaps/license.jwt

Licenses are verified fully offline — no phone-home, no activation server. Get a license at https://github.com/onetrueclaude-creator/mcp-knowledge-gaps#pro-tier.

Requirements

Python 3.10+

License

MIT

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Plug Mailtrap into your AI workflow and let it handle the email.

Connect Mailtrap MCP →

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Install now →

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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.

Try For Free →

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Try For Free →

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Get API Key Now →

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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...

one prompt install →

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create and run specialised agents in minutes

build now →

Configuration

KNOWLEDGE_GAPS_LICENSEsecret

Pro license JWT (optional). Unlocks premium features. See README.

mcp-knowledge-gaps

Find what your knowledge base mentions but doesn't actually explain.

Install

pip install mcp-knowledge-gaps
# or
uvx mcp-knowledge-gaps

Usage

Claude Code

claude mcp add mcp-knowledge-gaps -- mcp-knowledge-gaps

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "knowledge_gaps": {
      "command": "uvx",
      "args": ["mcp-knowledge-gaps"]
    }
  }
}

MCP Tools

Tool	Tier	Description
`find_gaps`	Free	Scan a markdown vault and return concepts mentioned in multiple notes but without their own dedicated note. Applies fuzzy canonicalization and noise filtering.
`list_gaps_by_priority`	Free	Return gaps ranked by priority: frequency × diversity × novelty (higher = fill this gap first).
`generate_research_questions`	Pro	Generate prioritized research questions for the top N gaps. Each question comes with a priority score and factor breakdown.
`surprise_research_topic`	Pro	Sortition sampling — pick a random gap from the LOW-priority long tail. Breaks confirmation bias by surfacing topics you'd never pick yourself.
`export_review_queue`	Pro	Export a CSV of top-priority gap concepts, suitable for Anki or other spaced-repetition tools. Writes to output_csv and returns the row count.

Pro tier

Unlocks research question generation with RL-weighted ranking, sortition sampling of long-tail gaps, and CSV review queue export.

License activation — any one of these works:

# 1. Environment variable
export KNOWLEDGE_GAPS_LICENSE="eyJhbGc..."

# 2. CLI flag
mcp-knowledge-gaps --license-key "eyJhbGc..."

# 3. Config file
echo "eyJhbGc..." > ~/.mcp-knowledge-gaps/license.jwt

Licenses are verified fully offline — no phone-home, no activation server. Get a license at https://github.com/onetrueclaude-creator/mcp-knowledge-gaps#pro-tier.

Requirements

Python 3.10+

License

MIT

Mcp Knowledge Gaps

mcp-knowledge-gaps

Install

Usage

Claude Code

Claude Desktop

MCP Tools

Pro tier

Requirements

License

Configuration

Mcp Knowledge Gaps

mcp-knowledge-gaps

Install

Usage

Claude Code

Claude Desktop

MCP Tools

Pro tier

Requirements

License

Configuration

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