MCP Knowledge Gaps

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

Quick Install

Automated & IDE Setup

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

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Knowledge Gaps.

find_gaps

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

Return gaps ranked by priority: frequency × diversity × novelty (higher = fill this gap first).

generate_research_questions

Generate prioritized research questions for the top N gaps. Each question comes with a priority score and factor breakdown.

surprise_research_topic

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

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.

Documentation Overview

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

Terminal

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

Usage

Claude Code

Terminal

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

Claude Desktop

Add to claude_desktop_config.json:

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:

server.ts

# 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

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

4mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

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Frequently Asked Questions about MCP Knowledge Gaps

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-knowledge-gaps": { "command": "npx", "args": ["-y", "mcp-knowledge-gaps"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

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

Verified ownership10/20

Documentation & tools24/30

Adoption & activity1/15

Community engagement0/10

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Documentation Overview

mcp-knowledge-gaps

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

Install

Terminal

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

Usage

Claude Code

Terminal

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

Claude Desktop

Add to claude_desktop_config.json:

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:

server.ts

# 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

Frequently Asked Questions about MCP Knowledge Gaps

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-knowledge-gaps": { "command": "npx", "args": ["-y", "mcp-knowledge-gaps"] } }