Cognitive Enhancement MCP Servers
About
MCP servers that models can use to extend their capabilities for general-use tasks and formalized workflows.
Details
- Author
- peragus-dev
- GitHub stars
- 26
- Downloads
- 149
- Categories
- Developer Tools, AI, Other
Jump to
- Includes tools for formal reasoning, visual thinking, and hypothesis testing
- Provides analogical reasoning and metacognitive monitoring
- Covers ethical reasoning, bias detection, and constraint solving
- Supports narrative planning, goal tracking, and multimodal synthesis
- Available via npm, yarn, Docker, or Claude Desktop integration
- Open source under the MIT License
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:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Cognitive Enhancement MCP ServersCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Each server is installed individually via npm (npm install @waldzellai/structured-argumentation) or yarn, run via Docker (docker run --rm -i waldzellai/structured-argumentation), or configured in Claude Desktop by adding the server command to claude_desktop_config.json.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"cognitive enhancement mcp servers": {
"model-enhancement-servers": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"waldzellai/structured-argumentation"
]
}
}
}
}McpServers
{
"model-enhancement-servers": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"waldzellai/structured-argumentation"
]
}
}A collection of MCP servers that provide cognitive enhancement tools for large language models.
A collection of Model Context Protocol servers that provide cognitive enhancement tools for large language models.
This monorepo contains the following MCP servers:
- Structured Argumentation- A server for formal dialectical reasoning
- Visual Reasoning- A server for diagrammatic thinking and spatial representation
- Scientific Method- A server for hypothesis testing and evidence evaluation
- Analogical Reasoning- A server for structured metaphorical thinking
- Metacognitive Monitoring- A server for knowledge assessment and confidence tracking
- Decision Framework- A server for structured decision analysis
- Collaborative Reasoning- A server for multi-perspective problem solving
- Ethical Reasoning- A server for evaluating actions with moral frameworks
- Bias Detection- A server for flagging potentially biased wording
- Constraint Solver- A server for validating logical and numeric constraints
- Narrative Planner- A server for generating simple story outlines
- Goal Tracker- A server for maintaining and completing objectives
- Multimodal Synthesizer- A server for combining text and image descriptions
The following server ideas are under consideration to further extend model reasoning capabilities:
- Emotion-Aware Interaction- Provides sentiment tracking and mood-aware responses to improve empathic communication.
- Long-Term Memory- Maintains persistent context across sessions for continuity and recall of past interactions.
Each server can be installed individually:
# Using npm npm install @waldzellai/structured-argumentation # Using yarn yarn add @waldzellai/structured-argumentation
Add this to yourclaude_desktop_config.json:
{ "mcpServers": { "structured-argumentation": { "command": "npx", "args": [ "-y", "@waldzellai/structured-argumentation" ] } } }
All servers are available as Docker images:
docker run --rm -i waldzellai/structured-argumentation
Clone the repository and install dependencies:
git clone https://github.com/waldzellai/model-enhancement-servers.git cd model-enhancement-servers npm install
This project is licensed under the MIT License - see the LICENSE file for details.
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (agy) — purpose-built tools, model routing with fallback, session continuity, and output truncation to save Claude's context and tokens.
Local agent workbench bundling OpenHands, Goose, Aider, and ashlrcode against one local LLM, with ashlr-plugin MCP servers pre-wired.
Transforms linear AI reasoning into structured, auditable thought graphs, enabling language models to externalize their reasoning process as a directed acyclic graph (DAG).
An open-source desktop application for hosting MCP servers that integrates with function-calling LLMs.
A terminal AI chat interface for any LLM model, with file context, MCP, and deployment support.
Unified MCP server providing access to Claude Code, Codex, and Gemini CLIs through a single gateway. Features multi-LLM orchestration, persistent session management, async job execution with polling, approval gates, retry with circuit breakers, and token optimization. Install: npx -y llm-cli-gateway
a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.
A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
A TypeScript agent that integrates MCP servers with Ollama, allowing AI models to use various tools through a unified interface.
Tools for logging, analyzing, and improving Claude Desktop prompts to enhance prompt engineering skills.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
