parlant Model Context Protocol (MCP) Server

GitHub

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

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Python 1 file · ~2,588 tokens #ai-agents #ai-alignment #customer-service #customer-success #gemini #genai #hacktoberfest #llama3

parlant MCP Server

MCP server for emcie-co/parlant

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "parlant": {
      "command": "npx",
      "args": [
        "-y",
        "@emcie-co/parlant"
      ]
    }
  }
}

{
  "mcpServers": {
    "parlant": {
      "command": "npx",
      "args": [
        "-y",
        "@emcie-co/parlant"
      ]
    }
  }
}

{
  "mcpServers": {
    "parlant": {
      "command": "npx",
      "args": [
        "-y",
        "@emcie-co/parlant"
      ]
    }
  }
}

{
  "mcpServers": {
    "parlant": {
      "command": "npx",
      "args": [
        "-y",
        "@emcie-co/parlant"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "parlant": {
      "command": "npx",
      "args": [
        "-y",
        "@emcie-co/parlant"
      ]
    }
  }
}

docker run -i --rm mcp/parlant