mcp-agent-orchestrator
Local Agentic AI Framework using Model Context Protocol (MCP), LangGraph, and Ollama
Install / Use
claude mcp add NxtGenCodeBase -- npx -y github:NxtGenCodeBase/mcp-agent-orchestratorIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of mcp-agent-orchestrator
mcp-agent-orchestrator scores 56/100 on our quality scale, 2759th of 2,895 Automation skills we index.
Its MCP Server is 1.8 KB long, split into 6 sections and no code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-12 found the source still online.
- It is released under MPL-2.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 81/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
mcp-agent-orchestrator compared with similar skills
All 4 of these similar skills score higher than mcp-agent-orchestrator; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-agent-orchestrator (this skill)by NxtGenCodeBase | 56 | 3 | 7mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 95.7k | 3d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.0k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.3k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 86.8k | today | MCP Server |
Frequently asked questions
- How do I install mcp-agent-orchestrator?
- Run
claude mcp add NxtGenCodeBase -- npx -y github:NxtGenCodeBase/mcp-agent-orchestrator. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-agent-orchestrator work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-agent-orchestrator safe to use?
- It is MPL-2.0-licensed and scores 81/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-agent-orchestrator still maintained?
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHub🤖 mcp-agent-orchestrator: Local Agentic AI via Model Context Protocol
mcp-agent-orchestrator is a production-ready starter template for building local-first Agentic AI systems. It demonstrates how to connect a FastMCP (Python) Server to a LangGraph Orchestrator using Ollama as the local LLM host.
🚀 Key Features
- Standardized MCP Integration: Uses the Model Context Protocol to decouple tool logic from LLM logic.
- Stateful Orchestration: Built with LangGraph for robust, multi-turn agent conversations and error handling.
- Privacy-First: 100% local execution using Ollama (Llama 3.1/Mistral)—no API keys required.
- Modern UI: A clean Streamlit interface for real-time interaction with your MCP tools.
- FastMCP Framework: Simplified Python tool definition with automatic schema generation.
🏗️ Architecture Overview
- MCP Host (Ollama): Provides the reasoning engine (LLM).
- MCP Server (FastMCP): Defines Python tools (e.g., SQLite, File System, Web Search).
- MCP Client: Manages the
stdiotransport and subprocess communication. - Orchestrator (LangGraph): A stateful ReAct agent that decides when to call MCP tools.
- Interface (Streamlit): The user-facing web application.
🛠️ Quick Start
Prerequisites
- Install Ollama and run
ollama run llama3.1. - Python 3.10 or higher.
Installation
- Clone the repository:
git clone https://github.com/NxtGenCodeBase/mcp-agent-orchestrator.git cd mcp-agent-orchestrator
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.