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Knowledge Management · Education & Learning
Gikendaasowin Aabajichiganan MCP
nbiish/gikendaasowin-aabajichiganan-mcp
Revolutionary MCP server with Enhanced 2-Round, 6-Stage Cognitive Deliberation Framework (v10.0.2). The deliberate tool implements an LLM-guided cognitive enhancement framework that prompts LLMs to evaluate and select from 15 modern cognitive techniques using a 0.00-0.99 scoring system with ≥1.53 threshold rule - accepting only input and context parameters.
Install
npx @nbiish/gikendaasowin-aabajichiganan-mcpClient configuration
{
"mcpServers": {
"gikendaasowin-aabajichiganan-mcp": {
"command": "npx",
"args": [
"@nbiish/gikendaasowin-aabajichiganan-mcp"
]
}
}
}- GitHub stars
- 1
- Author
- @nbiish
- Category
- Knowledge Management, Education & Learning
- Updated
- Oct 6, 2026
About Gikendaasowin Aabajichiganan MCP
(Integration guidelines in latest.md are licensed under LICENSE.)
MAJOR UPDATE (v10.0.2): Fixed critical variable reference bug that was causing "ReferenceError: prompt is not defined" when using the deliberation tool. The tool now properly references the input parameter throughout the framework, ensuring reliable operation for all LLM implementations without input restrictions.
Features
Critical Bug Fix: Resolved "ReferenceError: prompt is not defined" error that prevented LLM usage
Proper Parameter Usage: Tool now correctly references the input parameter throughout the deliberation framework
Enhanced Reliability: No more runtime errors when LLMs call the deliberation tool
Unrestricted Usage: LLMs can now use this MCP tool without any input restrictions or failures
LLM-Guided Evaluation: Tool prompts LLMs to evaluate cognitive techniques rather than providing hardcoded scores
True Adaptive Reasoning: No pre-calculated evaluations - LLMs determine optimal strategies dynamically
15 Modern Cognitive Techniques: Complete prompting strategy arsenal from Cache-Augmented Reasoning to Multimodal Synthesis
0.00-0.99 Scoring Framework: LLMs evaluate solution level + efficiency level with ≥1.53 threshold rule
Iterative Enhancement: Built-in guidance to return to deliberate after tool usage for continuous improvement
6-Stage Structure Presentation - Complete deliberation framework with critical thinking questions
Tools (2)
Auto-Processing
Automatically determines optimal cognitive approach and selects best prompting strategies
Features
Dynamic strategy evaluation, 2-round processing architecture, zero filler verbiage approach
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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