io.github.onetrueclaude-creator/mcp-knowledge-gaps
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| KNOWLEDGE_GAPS_LICENSE | No | License key for Pro tier features. Can be set as environment variable, CLI flag, or config file. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| find_gapsA | 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_priorityB | Return gaps ranked by priority: frequency × diversity × novelty (higher = fill first). |
| generate_research_questionsA | [Pro] Generate prioritized research questions for the top N gaps. Each question comes with a priority score and factor breakdown. |
| surprise_research_topicA | [Pro] Sortition sampling — pick n random gaps from the LOW-priority long tail. Breaks confirmation bias by surfacing topics you'd never pick yourself. |
| export_review_queueB | [Pro] Export a CSV of top-priority gap concepts for Anki or other spaced-repetition tools. Writes to output_csv and returns the row count. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: scanning vaults, listing gaps, exporting, generating questions, and random sampling. No overlapping functionality.
All tool names follow the verb_noun pattern in snake_case, making them predictable and easy to understand.
With 5 tools, the set is well-scoped for knowledge gap analysis, covering detection, prioritization, generation, and export without excess.
The toolset covers core workflows (scan, list, generate, export, serendipity), but lacks a tool for manual gap management or integration with note-taking.