Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Find what your knowledge base mentions but doesn't actually explain.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
KNOWLEDGE_GAPS_LICENSEValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"knowledge-gaps": {
"command": "uvx",
"args": [
"mcp-knowledge-gaps"
],
"env": {
"KNOWLEDGE_GAPS_LICENSE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add knowledge-gaps --env KNOWLEDGE_GAPS_LICENSE=your-value -- uvx mcp-knowledge-gapsFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"knowledge-gaps": {
"command": "uvx",
"args": [
"mcp-knowledge-gaps"
],
"env": {
"KNOWLEDGE_GAPS_LICENSE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"knowledge-gaps": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-knowledge-gaps"
],
"env": {
"KNOWLEDGE_GAPS_LICENSE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account onetrueclaude-creator, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: KNOWLEDGE_GAPS_LICENSE
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
pip install mcp-knowledge-gaps
uvx mcp-knowledge-gaps
claude mcp add mcp-knowledge-gaps -- mcp-knowledge-gaps
Add to claude_desktop_config.json:
{
"mcpServers": { "knowledge_gaps": { "command": "uvx", "args": ["mcp-knowledge-gaps"] } } }
| 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. |
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..."
mcp-knowledge-gaps --license-key "eyJhbGc..."
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.
MIT