Conecte Autogen ao ChatGPT, Claude e Gemini

• 01 / 02Como automatizar revisões de código
• 02 / 02Como depurar conversas

Dia mais rápido

626ms

Dia mais lento

934ms

Tendência de 14 dias

Estável+1%

Microsoft AutoGen Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_im6ZUleGV5zCo8b51ydydKQxlYTOsNTFUZKM0ez4/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Microsoft AutoGen capabilities are ready to use.

Configuração · claude_desktop_config.jsonCopiar

{
  "mcpServers": {
    "autogen-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_im6ZUleGV5zCo8b51ydydKQxlYTOsNTFUZKM0ez4/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar Microsoft AutoGen no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  Engenheiros de IA

  Para auditar topologias de agentes em execução, rastrear logs de execução profundos e iterar em habilidades Python sem trocar de contexto.

• 02

  Gerentes de Produto

  Para verificar a saúde e os passos de operações automatizadas de swarms de backend, garantindo que os fluxos de trabalho complexos funcionem conforme o esperado.

• 03

  Pesquisadores

  Para extrair facilmente históricos conversacionais profundos de LLM para LLM, cruzando fronteiras experimentais e realizando avaliações rigorosas.

• 01

  What is the difference between a 'session' and a 'workflow'?

  A session is the isolated memory space where the conversation happens. A workflow is the predefined topology or graph that dictates how the agents interact within that session. You create a session first, then run a workflow inside it.

• 02

  Can I debug the agents' conversations?

  Yes. You can use the message history capabilities to retrieve deep agent-to-agent conversation traces. This lets you see exactly which agent said what and why, which is critical for debugging.

• 03

  Do I need to write code to use this MCP?

  No. You interact with this MCP using natural conversation prompts through your AI client. The underlying complexity, like defining agents or listing skills, is handled by the capabilities you invoke.

• 04

  What if I want to change an agent's role?

  You can redefine agents using the create_agent capability. This lets you change their parameters, giving them new roles or specialized instructions mid-project.

• 05

  Does this MCP support multiple types of agents?

  Yes. You can define and manage multiple, specialized agents, such as a User Proxy, a Coder, and a Critic, allowing them to collaborate on a single task.

• 06

  Can my AI agent debug a looping multi-agent conversation?

  Yes. You can instruct your primary agent to retrieve the message traces for a specific AutoGen session ID. It will instantly unpack the internal LLM-to-LLM conversation, highlighting exactly which secondary agent is looping, throwing errors, or deviating from the constraints without manual log parsing.

• 07

  How do I add a new Python capability or skill dynamicly?

  Your agent can list currently mapped Python skills bound to the studio runtime. If you need a new capability, your primary AI can iterate on the script directly on your CLI/editor and once deployed in your studio, you can map it natively to customized agents via the creation parameters.

• 08

  Can it trigger a Workflow to start executing a new complex task?

  Absolutely. Ask your agent to create a fresh, blank, and completely isolated session, then dispatch a newly constructed 'human message' targeting an existing Multi-Agent workflow topology. It initiates the whole automated logic sequence securely and remotely.

• 

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Sugestões

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  Automate integration workflows via UnifyApps — monitor execution logs, check active flows, audit connections,

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  Multi-Turn Conversation Compressor Conector de IA

  Deterministic engine for reducing conversation history size while preserving semantic continuity.

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