Aegntic Model Context Protocol Nexus

An extensive repository of interconnected Model Context Protocol (MCP) execution nodes designed for advanced autonomous agents. This suite empowers capabilities spanning comprehensive knowledge capture, secured credential handling, deep data telemetry, synthetic media generation, and much more.

⚡ Rapid Initialization

bash

Secure a local copy of the repository assets

git clone https://github.com/aegntic/aegntic-mcp.git cd aegntic-mcp

Execute the automated environment provisioning script

./setup.sh

Calibrate your primary MCP client (e.g., Claude Desktop or equivalent)

Centralized Configuration Paradigm

We enforce a singular, unified approach to MCP endpoint configuration, ensuring operational parity across both Claude Desktop environments and Claude Code IDE modules. This master configuration resides in the following locations:

• Claude Desktop Clients: ~/.config/Claude/claude_desktop_config.json
• Claude Code Clients: ~/.config/claude-code/mcp_servers.json
• Global Dispatch Directory: ~/.mcp-servers/ (Designated for locally deployed agent endpoints)

Configuration Unification Advantages

1. Consistency: A single definition file governs all Claude interface interactions.
2. Maintenance Ease: System additions or modifications require updates in only one file.
3. Path Reliability: Endpoints function identically irrespective of the utilized Claude user interface.
4. Developer Focus: Locally developed nodes benefit from storage in a distinct, system-wide location.

📦 Integrated MCP Execution Nodes

🎨 Media Production & Knowledge Artifacting

• dailydoco-pro: Premium autonomous documentation utility featuring AI-driven audience simulation.
• comfyui-mcp: High-fidelity synthetic media synthesis, including visual creation, temporal sequence generation, and editing, powered by ComfyUI.

🛡️ Identity Verification & Access Governance

• aegntic-auth: Centralized identity registration, software licensing management, and electronic mail orchestration service.
• aegnt-27: Proprietary Human Authenticity Verification Engine engineered for robust AI detection countermeasures.

🧠 Information Retention & Semantic Structuring

• graphiti-mcp: Advanced spatio-temporal knowledge graph persistence layer for agent episodic memory.
• n8n-pro: Complete documentation and operational control interface for the n8n workflow automation platform (covering 525+ distinct nodes).

⚙️ Engineering & Procedural Automation

• just-prompt: Advanced meta-prompting layer supporting multi-LLM arbitration with executive-level decision synthesis.
• quick-data: Expedited data inspection, statistical visualization, and actionable insight extraction utilities.

Registered Endpoint Services

Endpoint Name	Type	Synopsis	Deployment Address
Aegntic Knowledge Core	Local/UV	Cost-neutral, unified intelligence hub incorporating web indexation, Retrieval-Augmented Generation (RAG), memory topology, task management, and exhaustive documentation context (20 integrated tools).	servers/aegntic-knowledge-engine
AI Coordination Nexus	Local/UV	AI-driven collaborative instrumentation supporting OpenRouter connectivity.	~/.mcp-servers/ai-collaboration-hub
Claude Artifact Exporter	NPM	Mechanism to serialize Claude Desktop sessions, dialogue histories, and generated outputs into standardized Markdown format.	npx @aegntic/claude-export-mcp
Cloud Platform Studio	NPM	Comprehensive interface for interacting with Firebase and associated Google Cloud infrastructure resources.	npx @aegntic/firebase-studio-mcp
n8n Automation Gateway	NPM	Unrestricted execution environment for n8n workflow automation pipelines.	npx @leonardsellem/n8n-mcp-server
Container Orchestration Node	UVX	Full spectrum management for Docker containers and image repositories, including Docker Hub linkage.	uvx mcp-server-docker
Prompt Orchestrator	Local/UV	High-level mechanism for routing and comparing responses across multiple proprietary LLMs.	/home/tabs/ae-co-system/CLAEM/just-prompt-orchestration/just-prompt
Rapid Data Analyst	Local/UV	Utility suite for swift data manipulation, charting, and analytical derivation.	/home/tabs/ae-co-system/DAILYDOCO/quick-data-mcp
Documentation Pro Service	Local/Node	Professional-grade project auditing and artifact generation utility.	~/.mcp-servers/dailydoco-pro
Identity Agent Module	Local/Node	Advanced operational routines for autonomous entity simulation.	~/.mcp-servers/aegnt-27
Agent Utility Library	Local/Node	Core libraries and shared functions for identity agents.	~/.mcp-servers/aegnt-27-lib

Secondary Embedded Services

These nodes are automatically incorporated via the master configuration:

Endpoint	Source	Primary Functionality
filesystem	NPM	Hierarchical file system interaction and manipulation
memory	NPM	Volatile and persistent knowledge caching mechanisms
context7	NPM	Contextual window management for ongoing conversational threads
puppeteer	NPM	Headless browser control layer utilizing Playwright drivers
sequentialthinking	NPM	Implementation of step-by-step reasoning and deduction routines
github	Smithery	Version control system interface and repository operations
exa	Smithery	Enhanced directory listing and file metadata query tools
smithery	Smithery	General-purpose utility collection provided by the Smithery framework
desktop-commander	Smithery	Low-level operating system interface automation
ppick	UVX	Process selection and management utilities
notionApi	NPM	Synchronization and interaction layer with Notion workspace APIs
supabase	NPM	Backend-as-a-Service data persistence integration layer

Installation and Provisioning

1. Establishing the Global Storage Allocation

Ensure the designated global storage location for runtime assets is present:

bash mkdir -p ~/.mcp-servers

2. Dependency Runtime Acquisition

Python Services (UV Managed)

bash

Acquire and execute the UV package manager installer script

curl -LsSf https://astral.sh/uv/install.sh | sh

Node.js Components

bash

Verify minimum required versions for Node.js runtime

node --version npm --version

3. Deploying the Unified MCP Manifest

Configuration for Claude Desktop Instances

Modify or create the configuration file located at ~/.config/Claude/claude_desktop_config.json:

{ "mcpServers": { "dailydoco-pro": { "command": "node", "args": ["/path/to/aegntic-MCP/dailydoco-pro/dist/index.js"], "env": { "USER_EMAIL": "your-email@example.com" } }, "aegnt-27": { "command": "node", "args": ["/path/to/aegntic-MCP/aegnt-27/dist/index.js"], "env": { "USER_EMAIL": "your-email@example.com" } }, "comfyui": { "command": "node", "args": ["/path/to/aegntic-MCP/comfyui-mcp/dist/index.js"], "env": { "COMFYUI_HOST": "http://localhost:8188", "USER_EMAIL": "your-email@example.com" } }, "aegntic-auth": { "command": "node", "args": ["/path/to/aegntic-MCP/aegntic-auth/dist/index.js"], "env": { "SUPABASE_URL": "your-supabase-url", "SUPABASE_ANON_KEY": "your-supabase-key" } }, "graphiti": { "command": "uv", "args": [ "run", "--directory", "/path/to/aegntic-MCP/graphiti-mcp", "python", "graphiti_mcp_server.py", "--transport", "stdio" ], "env": { "NEO4J_URI": "bolt://localhost:7687", "NEO4J_USER": "neo4j", "NEO4J_PASSWORD": "your-password", "OPENAI_API_KEY": "your-openai-key" } }, "n8n-pro": { "command": "node", "args": ["/path/to/aegntic-MCP/n8n-pro/dist/mcp/index.js"], "env": { "N8N_API_URL": "http://localhost:5678", "N8N_API_KEY": "your-n8n-api-key" } }, "just-prompt": { "command": "uv", "args": [ "run", "--directory", "/path/to/aegntic-MCP/just-prompt", "just-prompt" ], "env": { "OPENROUTER_API_KEY": "your-openrouter-key" } }, "quick-data": { "command": "uv", "args": [ "run", "--directory", "/path/to/aegntic-MCP/quick-data", "python", "main.py" ] },

// Secondary NPM-managed services
"filesystem": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/tabs"],
  "env": {}
},

// UVX-managed services
"docker": {
  "command": "uvx",
  "args": ["mcp-server-docker"],
  "env": {}
},

// Additional locally compiled services
"ai-collaboration-hub": {
  "command": "uv",
  "args": ["run", "python", "-m", "ai_collaboration_hub.server"],
  "cwd": "/home/tabs/ae-co-system/aegntic-MCP/servers/ai-collaboration-hub",
  "env": {
    "OPENROUTER_API_KEY": "your-key-here"
  }
}
}

} }

Configuration for Claude Code Environments

Mirror the structure above into ~/.config/claude-code/mcp_servers.json.

4. Node-Specific Initialization Procedures

For internally managed components stored in the global directory (e.g., DailyDoco Pro, Aegnt-27): bash cd ~/.mcp-servers/server-name npm install npm run build

Python Runtime Environments (UV)

For services relying on UV for Python dependency resolution (e.g., AI Coordination Nexus): bash cd /path/to/server uv sync uv run python -m module_name.server

🛠️ Development Toolchain Setup

Each individual MCP component within the repository mandates its own build lifecycle:

TypeScript/Node.js Modules

bash cd server-directory npm install npm run build npm start

Python Modules

bash cd server-directory uv sync uv run python main.py # Or the defined entry point script

📚 Component Functional Mapping

Endpoint	Primary Language	Core Feature Set
dailydoco-pro	TypeScript	Deep project audit, screen recording, simulated audience feedback sessions, corporate identity adherence enforcement
aegnt-27	TypeScript	Keystroke/cursor biometric emulation, AI detection obfuscation, low-level audio signal processing
comfyui-mcp	TypeScript	Advanced synthetic image rendering, motion graphic sequence production, automatic asset masking, branding element injection
aegntic-auth	TypeScript	Secure user provisioning, subscription lifecycle management via Stripe, targeted electronic correspondence, resource utilization telemetry
graphiti-mcp	Python	Topological data structuring, long-term contextual storage, entity relationship mapping, chronological data indexing
n8n-pro	TypeScript	Exhaustive registry for n8n operations (525+ methods), workflow integrity checks, proprietary tool discovery
just-prompt	Python	Comparative multi-model response evaluation, strategic resource allocation via executive modeling
quick-data	Python	Rapid statistical profiling, visual data representation, initial machine learning feature extraction

⭐ Distinctive Value Propositions

Sophisticated AI Modalities

• Temporal State Persistence - Maintain and recall complex, time-dependent context chains.
• Inter-Model Arbitration - Systematically benchmark and select optimal responses from heterogeneous LLMs.
• Synthetic Behavior Modeling - Produce outputs indistinguishable from organic human activity.
• Automated Artifact Generation - Rapid creation of comprehensive technical documentation leveraging AI analysis.

Corporate Readiness

• Identity Governance - Complete access control, validation, and licensing framework.
• Consumption Monitoring - Auditing of endpoint utilization against configured quotas.
• Financial Transaction Layer - Integrated subscription handling via Stripe Connect.
• Business Intelligence - Production of professional analytical dashboards and data narratives.

Engineering & Automation Tooling

• Workflow Synthesis - Seamless operational linkage with the n8n ecosystem and management interface.
• Media Factory - End-to-end pipeline for visual and video asset creation.
• Source Code Deconstruction - Automated dependency mapping and documentation generation for software repositories.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) establishes a standardized communication layer designed to extend the operational envelope of cognitive AI assistants (like Claude) by granting them controlled interfaces to external programmatic utilities and proprietary data services. These implemented servers adhere to the MCP specification to expose specialized functions directly callable from within the AI's interaction context.

Operationalizing These Nodes

Each service within this repository can be individually bootstrapped and configured. Refer to the specific documentation file (README) contained within each service's subdirectory for precise deployment and invocation instructions.

Prerequisite Runtimes

• Python Services (Knowledge Core, Coordination Nexus): Mandates Python version 3.12 or newer, alongside the UV dependency resolver.
• Node.js Services (All others): Requires Node.js version 14 or later, with npm/npx available.
• Local Services: Built artifacts are staged in the designated ~/.mcp-servers/ location.

General Activation Sequence

1. Manifest Registration: Integrate the service definitions into your active Claude Desktop or Claude Code configuration file.
2. Client Reinitialization: Restart the Claude application to ensure the new endpoint definitions are loaded into the active context.
3. Tool Invocation: Utilize the registered tool names directly within your natural language prompts inside Claude.

🔒 Security Posture and Access Control

All deployed services incorporate inherent security mechanisms: * Mandatory API key validation for external calls. * Integrated throttling limits and usage metering. * Secure handling of runtime environment variables. * Strict validation and neutralization of incoming data payloads.

📖 Informational Resources

Comprehensive guides accompany every endpoint: * Setup and prerequisite checklists. * Detailed API specifications and practical code demonstrations. * Granular configuration parameters documentation. * Troubleshooting workflows for common runtime issues.

Consult the dedicated README for the specific service you are integrating for exhaustive specifics.

🌐 Collaboration Guidelines

1. Establish a personal feature branch via a repository fork.
2. Implement desired modifications.
3. Ensure test coverage is extended where necessary.
4. Submit a formal Pull Request for review.

📄 Licensing Agreement

This collective work is distributed under the terms of the MIT License. Refer to the individual LICENSE files accompanying each server component for precise legal definitions.

❓ Assistance Channels

• Report defects or errors via the 'Issues' tracker.
• Consult component-specific documentation for immediate solutions.
• Engage with peer discussions in our community channels.

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Engineered with dedication for the advancement of autonomous agent ecosystems.

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