# mcp-agent-orchestrator

> mcp-agent-orchestrator — nxtgencodebase-mcp-agent-orchestrator. Use this tool when you need to manage and coordinate multiple AI agents locally, leveraging Model Context Protocol (MCP), LangGraph, and Ollama to streamline interactions and workflows. It solves problems related to agent orchestration, context management, and knowledge graph integration, providing a unified interface for inputs and outputs. Ideal for use cases requiring flexible and scalable local AI agent management, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/nxtgencodebase-mcp-agent-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/nxtgencodebase-mcp-agent-orchestrator

## Description

Local Agentic AI Framework using Model Context Protocol (MCP), LangGraph, and Ollama

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MPL-2.0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/NxtGenCodeBase/mcp-agent-orchestrator)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nxtgencodebase-mcp-agent-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nxtgencodebase-mcp-agent-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nxtgencodebase-mcp-agent-orchestrator/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt