# python-ai-assistants-multi-agents-mcp-servers

> python-ai-assistants-multi-agents-mcp-servers — jsxtech-python-ai-assistants-multi-agents-mcp-servers. Use this tool when you need to manage complex workflows and interactions between multiple AI agents, leveraging features like load balancing, circuit breakers, and event buses to ensure efficient and reliable communication. It solves problems related to scalability, fault tolerance, and data persistence in multi-agent systems. Ideal for use cases requiring distributed architecture and microservices orchestration, with interfaces supporting git integration for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/jsxtech-python-ai-assistants-multi-agents-mcp-servers  
JSON: https://api.skillsregistry.net/v1/skills/jsxtech-python-ai-assistants-multi-agents-mcp-servers

## Description

Multi-agent system with MCP servers — workflow engine, event bus, circuit breaker, load balancing, and persistence. Jaspal 9891156880

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jsxtech/python-ai-assistants-multi-agents-mcp-servers)

## 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": "jsxtech-python-ai-assistants-multi-agents-mcp-servers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jsxtech-python-ai-assistants-multi-agents-mcp-servers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jsxtech-python-ai-assistants-multi-agents-mcp-servers/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