PagerDuty MCP Server

# PagerDuty MCP Server A server that exposes PagerDuty API functionality to LLMs. This server is designed to be used programmatically, with structured inputs and outputs. <a href="https://glama.ai/mcp/servers/@wpfleger96/pagerduty-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@wpfleger96/pagerduty-mcp-server/badge" alt="PagerDuty Server MCP server" /> </a> [](https://pypi.org/project/pagerduty-mcp-server/) [](https://pypi.org/project/pagerduty-mcp-server/) [](https://github.com/wpfleger96/pagerduty-mcp-server/graphs/contributors) [](https://pypi.org/project/pagerduty-mcp-server/) [](https://github.com/wpfleger96/pagerduty-mcp-server/blob/main/LICENSE) ## Overview The PagerDuty MCP Server provides a set of tools for interacting with the PagerDuty API. These tools are designed to be used by LLMs to perform various operations on PagerDuty resources such as incidents, services, teams, and users. ## Installation ### From PyPI ```bash pip install pagerduty-mcp-server ``` ### From Source ```sh # Clone the repository git clone https://github.com/wpfleger96/pagerduty-mcp-server.git cd pagerduty-mcp-server # Install dependencies brew install uv uv sync ``` ## Requirements - Python 3.13 or higher - PagerDuty API key ## Configuration The PagerDuty MCP Server requires a PagerDuty API key to be set in the environment: ```bash PAGERDUTY_API_KEY=your_api_key_here ``` ## Usage ### As Goose Extension ```json { "type": "stdio", "enabled": true, "args": [ "run", "python", "-m", "pagerduty_mcp_server" ], "commandInput": "uv run python -m pagerduty_mcp_server", "timeout": 300, "id": "pagerduty-mcp-server", "name": "pagerduty-mcp-server", "description": "pagerduty-mcp-server", "env_keys": [ "PAGERDUTY_API_KEY" ], "cmd": "uv" } ``` ### As Standalone Server ```sh uv run python -m pagerduty_mcp_server ``` ## Response Format All API responses follow a consistent format: ```json { "metadata": { "count": <int>, // Number of results "description": "<str>" // A short summary of the results }, <resource_type>: [ // Always pluralized for consistency, even if one result is returned { ... }, ... ], "error": { // Only present if there's an error "message": "<str>", // Human-readable error description "code": "<str>" // Machine-readable error code } } ``` ### Error Handling When an error occurs, the response will include an error object with the following structure: ```json { "metadata": { "count": 0, "description": "Error occurred while processing request" }, "error": { "message": "Invalid user ID provided", "code": "INVALID_USER_ID" } } ``` Common error scenarios include: - Invalid resource IDs (e.g., user_id, team_id, service_id) - Missing required parameters - Invalid parameter values - API request failures - Response processing errors ### Parameter Validation - All ID parameters must be valid PagerDuty resource IDs - Date parameters must be valid ISO8601 timestamps - List parameters (e.g., `statuses`, `team_ids`) must contain valid values - Invalid values in list parameters will be ignored - Required parameters cannot be `None` or empty strings - For `statuses` in `list_incidents`, only `triggered`, `acknowledged`, and `resolved` are valid values - For `urgency` in incidents, only `high` and `low` are valid values ### Rate Limiting and Pagination - The server respects PagerDuty's rate limits - The server automatically handles pagination for you ### Example Usage ```python from pagerduty_mcp_server import incidents # List all incidents (including resolved) for the current user's teams incidents_list = incidents.list_incidents() # List only active incidents active_incidents = incidents.list_incidents(statuses=['triggered', 'acknowledged']) # List incidents for specific services service_incidents = incidents.list_incidents(service_ids=['SERVICE-1', 'SERVICE-2']) # List incidents for specific teams team_incidents = incidents.list_incidents(team_ids=['TEAM-1', 'TEAM-2']) # List incidents within a date range date_range_incidents = incidents.list_incidents( since='2024-03-01T00:00:00Z', until='2024-03-14T23:59:59Z' ) ``` ## User Context Many functions support automatic filtering based on the current user's context. When `current_user_context=True` (default), results are filtered to only show resources the current user has access to: - Incidents for teams the user belongs to - Services the user has access to - Teams the user belongs to - Escalation policies the user is part of When using `current_user_context=True` (default), you cannot use `user_ids`, `team_ids`, or `service_ids` parameters as they would conflict with the automatic filtering. ## Development ### Running Tests Note that most tests require a real connection to PagerDuty API, so you'll need to set `PAGERDUTY_API_KEY` in the environment before running the full test suite. ```bash uv run pytest ``` To run only unit tests (i.e. tests that don't require `PAGERDUTY_API_KEY` set in the environment): ```sh uv run pytest -m unit ``` To run only integration tests: ```sh uv run python -m integration ``` To run only parser tests: ```sh uv run python -m parsers ``` To run only tests related to a specific submodule: ```sh uv run python -m <client|escalation_policies|...> ``` ### Debug Server with MCP Inspector ```bash npx @modelcontextprotocol/inspector uv run python -m pagerduty_mcp_server ``` ## Contributions ### Releases This project uses [Conventional Commits](https://www.conventionalcommits.org/) for automated releases. Commit messages determine version bumps: - `feat:` → minor version (1.0.0 → 1.1.0) - `fix:` → patch version (1.0.0 → 1.0.1) - `BREAKING CHANGE:` → major version (1.0.0 → 2.0.0) The CHANGELOG.md, GitHub releases, and PyPI packages are updated automatically. ### Documentation [Tool Documentation](./docs/tools.md) - Detailed information about available tools including parameters, return types, and example queries ### Conventions - All API responses follow the standard format with metadata, resource list, and optional error - Resource names in responses are always pluralized for consistency - All functions that return a single item still return a list with one element - Error responses include both a message and a code - All timestamps are in ISO8601 format - Tests are marked with pytest markers to indicate their type (unit/integration), the resource they test (incidents, teams, etc.), and whether they test parsing functionality ("parsers" marker)