🚀 PagerDuty AI Agent

by cnoe-io

234 downloads

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About

PagerDuty AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)Agent for PagerDuty

Details

Author: cnoe-io
Downloads: 234
Categories: AI

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name 🚀 PagerDuty AI Agent

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

From the repository

Configure a .env file with your LLM provider details and a PagerDuty API key. Pull the Docker image from ghcr.io/cnoe-io/agent-pagerduty:a2a-latest and run it on port 8000, then use the agent-chat-cli to interact. Alternatively, clone the repo and run make run-a2a for local development.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83d\ude80 pagerduty ai agent": {
            "agent-pagerduty": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
                ]
            }
        }
    }
}

McpServers

{
    "agent-pagerduty": {
        "command": "docker",
        "args": [
            "pull",
            "ghcr.io/cnoe-io/agent-pagerduty:a2a-latest"
        ]
    }
}

🚀 PagerDuty AI Agent

---

🧪 Evaluation Badges

| Claude | Gemini | OpenAI | Llama |
|--------|--------|--------|-------|
| | | | |

---

- 🤖 PagerDuty Agent is an LLM-powered agent built using the LangGraph ReAct Agent workflow and MCP tools.
- 🌐 Protocol Support: Compatible with ACP and A2A protocols for integration with external user clients.
- 🛡️ Secure by Design: Enforces PagerDuty API token-based authentication and supports external authentication for strong access control.
- 🔌 Integrated Communication: Uses langchain-mcp-adapters to connect with the PagerDuty MCP server within the LangGraph ReAct Agent workflow.
- 🏭 First-Party MCP Server: The MCP server is generated by our first-party openapi-mcp-codegen utility, ensuring version/API compatibility and software supply chain integrity.

---

🚀 Getting Started

Running it via Docker:

1️⃣ Configure Environment

Ensure your .env file is set up as described in the cnoe-agent-utils usage guide based on your LLM Provider.

Example .env configuration:
```env
############################

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🚀 PagerDuty AI Agent

About

Details

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

McpServers

🚀 PagerDuty AI Agent

🧪 Evaluation Badges

🚀 Getting Started

1️⃣ Configure Environment

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🚀 PagerDuty AI Agent

🧪 Evaluation Badges

🚀 Getting Started

1️⃣ Configure Environment

Install

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