◈──◆──◇ GIKENDAASOWIN AABAJICHIGANAN MCP SERVER / COGNITIVE TOOLS MCP SERVER ◇──◆──◈

by nbiish

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About

ᑭᑫᓐᑖᓱᐎᓐ ᐋᐸᒋᒋᑲᓇᓐ - Gikendaasowin Aabajichiganan - Cognitive Tools MCP server implemented from various prompting strategies.

Details

Author
nbiish
GitHub stars
4
Downloads
124
Categories
Other

- LLM-guided dynamic technique selection
- 15 modern cognitive prompting strategies
- 0.00-0.99 scoring with ≥1.53 threshold
- Meta-cognitive enhancement for adaptive reasoning
- Built-in iterative improvement guidance
- Fix for "ReferenceError: prompt is not defined"

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name ◈──◆──◇ GIKENDAASOWIN AABAJICHIGANAN MCP SERVER / COGNITIVE TOOLS MCP SERVER ◇──◆──◈
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via npm using either @nbiish/gikendaasowin-aabajichiganan-mcp or @nbiish/cognitive-tools-mcp. Add it as an MCP server to Claude Desktop by editing claude_desktop_config.json with the npx command and the chosen package name. Then invoke the deliberate tool with the required input parameter and optional context.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\u25c8\u2500\u2500\u25c6\u2500\u2500\u25c7 gikendaasowin aabajichiganan mcp server / cognitive tools mcp server \u25c7\u2500\u2500\u25c6\u2500\u2500\u25c8": {
            "gikendaasowin-aabajichiganan-mcp": {
                "command": "npx",
                "args": [
                    "@nbiish/gikendaasowin-aabajichiganan-mcp"
                ]
            }
        }
    }
}

McpServers

{
    "gikendaasowin-aabajichiganan-mcp": {
        "command": "npx",
        "args": [
            "@nbiish/gikendaasowin-aabajichiganan-mcp"
        ]
    }
}

◈──◆──◇ GIKENDAASOWIN AABAJICHIGANAN MCP SERVER / ENHANCED 6-STAGE COGNITIVE TOOLS MCP SERVER ◇──◆──◈

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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. (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.

Known as:
- Anishinaabemowin: @nbiish/gikendaasowin-aabajichiganan-mcp
- English: @nbiish/cognitive-tools-mcp

Both packages are maintained in parallel and receive the same updates. You can use either package name in your projects - they provide identical functionality.

See the latest integration details in latest.md.

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ᐴ REPOSITORY STRUCTURE ᔔ [MAZINAAZIWIN] ◈──◆──◇──◆──◈

Current repository structure (v10.0.2):

.
├── .cursor/                    # Development rules and style guides
│   ├── anishinaabe-cyberpunk-style.mdc
│   └── rules/
├── .github/                    # GitHub configuration
│   ├── copilot-instructions.md
│   └── FUNDING.yml
├── build/                      # Compiled JavaScript output
│   └── index.js
├── new-flow/                   # Flow documentation and images
│   ├── new-flow-images/
│   └── new-mcp-flow.md
├── src/                        # TypeScript source code
│   └── index.ts
├── buymeacoffee-button.svg     # Support button
├── CONTRIBUTING.md             # Contribution guidelines
├── latest.md                   # Integration prompt (licensed)
├── LICENSE                     # Comprehensive restricted use license
├── modern-prompting.mdc        # Prompting strategy definitions
├── package-cognitive-tools.json # English package configuration
├── package-gikendaasowin.json  # Anishinaabemowin package configuration
├── package.json               # Main package configuration
├── PRD.md                     # Product Requirements Document
├── publish-both-packages.sh   # Dual publishing script
├── qr-stripe-donation.png     # Donation QR code
├── README.md                  # This file
└── tsconfig.json              # TypeScript configuration

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ᐴ GASHKITOONAN ᔔ [ENHANCED CAPABILITIES] ◈──◆──◇──◆──◈

🚀 Revolutionary LLM-Guided Cognitive Framework (v10.0.2)

FIXED IN v10.0.2: CRITICAL VARIABLE REFERENCE BUG

- 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

Core Framework Features (Maintained from v8.9.6):

- 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

Revolutionary LLM-Guidance Architecture:

Framework Delivery Phase:

- 6-Stage Structure Presentation - Complete deliberation framework with critical thinking questions
- Cognitive Technique Catalog - All 15 modern prompting strategies for LLM evaluation
- Scoring Instructions - Clear 0.00-0.99 evaluation criteria with threshold-based selection rules

LLM Processing Phase:

- Dynamic Technique Selection - LLM evaluates and scores techniques based on specific problem context
- Strategy Combination - Multiple techniques used when scoring ≥1.53 for enhanced effectiveness
- Tool Planning Integration - Recommendations for tool usage count and re-deliberation timing
- Adaptive Implementation - LLM applies selected cognitive approaches to actual problem solving

Core Innovation:
This breakthrough enables LLMs to meta-cognitively select their own reasoning approaches rather than following pre-determined paths, resulting in truly adaptive and context-appropriate problem solving.

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ᐴ APITENDAAGOZIJIG ᔔ [PERFORMANCE METRICS] ◈──◆──◇──◆──◈

- LLM-Guided Evaluation: Prompts LLMs to evaluate and score 15+ cognitive techniques dynamically
- True Adaptive Reasoning: No hardcoded evaluations - strategies selected based on problem context
- Meta-Cognitive Enhancement: LLMs learn to select their own optimal reasoning approaches
- Iterative Improvement: Built-in guidance for tool usage and re-deliberation cycles
- Threshold-Based Selection: ≥1.53 scoring rule ensures quality technique combination

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</div>

🚀 LLM-Guided Cognitive Enhancement Framework (v8.9.6)

This revolutionary update transforms the deliberation tool from a hardcoded evaluation system into an LLM-guided cognitive enhancement framework that enables true adaptive reasoning.

Core Innovation

Meta-Cognitive Selection: The tool now prompts LLMs to evaluate and select cognitive techniques themselves using a structured 0.00-0.99 scoring system, enabling context-appropriate strategy selection rather than pre-determined approaches.

Processing Architecture

1. Framework Presentation: Delivers complete 6-stage deliberation structure with critical thinking questions
2. Technique Catalog: Presents all 15 modern cognitive techniques for LLM evaluation
3. Scoring Framework: Guides LLM through solution level + efficiency level evaluation (≥1.53 threshold)
4. Dynamic Selection: LLM chooses optimal techniques based on specific problem requirements
5. Implementation Guidance: Provides tool usage recommendations and re-deliberation encouragement

This breakthrough enables LLMs to learn and adapt their own reasoning approaches while leveraging advanced cognitive frameworks for enhanced problem-solving capabilities!

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╭────────────[ ◈◆◇ DEVELOPMENT ◇◆◈ ]────────────╮
</div>

ᐴ OZHITOON ᔔ [BUILDING] ◈──◆──◇──◆──◈

```bash
╭──────────────────────────────────────────────────────────────────────╮
│ ᐴ BASH ᔔ [ SHELL COMMANDS ] │
╰──────────────────────────────────────────────────────────────────────╯

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