# Datadog MCP Server > **DISCLAIMER**: This is a community-maintained project and is not officially affiliated with, endorsed by, or supported by Datadog, Inc. This MCP server utilizes the Datadog API but is developed independently as part of the [Model Context Protocol](https://github.com/modelcontextprotocol/servers) ecosystem. ![NPM Version](https://img.shields.io/npm/v/%40winor30%2Fmcp-server-datadog)![Build and Test](https://github.com/winor30/mcp-server-datadog/actions/workflows/ci.yml/badge.svg)[![codecov](https://codecov.io/gh/winor30/mcp-server-datadog/graph/badge.svg?token=BG4ZB74X92)](https://codecov.io/gh/winor30/mcp-server-datadog)[![smithery badge](https://smithery.ai/badge/@winor30/mcp-server-datadog)](https://smithery.ai/server/@winor30/mcp-server-datadog) MCP server for the Datadog API, enabling incident management and more.

## Features - **Observability Tools**: Provides a mechanism to leverage key Datadog monitoring features, such as incidents, monitors, logs, dashboards, and metrics, through the MCP server. - **Extensible Design**: Designed to easily integrate with additional Datadog APIs, allowing for seamless future feature expansion. ## Tools 1. `list_incidents` - Retrieve a list of incidents from Datadog. - **Inputs**: - `filter` (optional string): Filter parameters for incidents (e.g., status, priority). - `pagination` (optional object): Pagination details like page size/offset. - **Returns**: Array of Datadog incidents and associated metadata. 2. `get_incident` - Retrieve detailed information about a specific Datadog incident. - **Inputs**: - `incident_id` (string): Incident ID to fetch details for. - **Returns**: Detailed incident information (title, status, timestamps, etc.). 3. `get_monitors` - Fetch the status of Datadog monitors. - **Inputs**: - `groupStates` (optional array): States to filter (e.g., alert, warn, no data, ok). - `name` (optional string): Filter by name. - `tags` (optional array): Filter by tags. - **Returns**: Monitors data and a summary of their statuses. 4. `get_logs` - Search and retrieve logs from Datadog. - **Inputs**: - `query` (string): Datadog logs query string. - `from` (number): Start time in epoch seconds. - `to` (number): End time in epoch seconds. - `limit` (optional number): Maximum number of logs to return (defaults to 100). - **Returns**: Array of matching logs. 5. `list_dashboards` - Get a list of dashboards from Datadog. - **Inputs**: - `name` (optional string): Filter dashboards by name. - `tags` (optional array): Filter dashboards by tags. - **Returns**: Array of dashboards with URL references. 6. `get_dashboard` - Retrieve a specific dashboard from Datadog. - **Inputs**: - `dashboard_id` (string): ID of the dashboard to fetch. - **Returns**: Dashboard details including title, widgets, etc. 7. `query_metrics` - Retrieve metrics data from Datadog. - **Inputs**: - `query` (string): Metrics query string. - `from` (number): Start time in epoch seconds. - `to` (number): End time in epoch seconds. - **Returns**: Metrics data for the queried timeframe. 8. `list_traces` - Retrieve a list of APM traces from Datadog. - **Inputs**: - `query` (string): Datadog APM trace query string. - `from` (number): Start time in epoch seconds. - `to` (number): End time in epoch seconds. - `limit` (optional number): Maximum number of traces to return (defaults to 100). - `sort` (optional string): Sort order for traces (defaults to '-timestamp'). - `service` (optional string): Filter by service name. - `operation` (optional string): Filter by operation name. - **Returns**: Array of matching traces from Datadog APM. 9. `list_hosts` - Get list of hosts from Datadog. - **Inputs**: - `filter` (optional string): Filter string for search results. - `sort_field` (optional string): Field to sort hosts by. - `sort_dir` (optional string): Sort direction (asc/desc). - `start` (optional number): Starting offset for pagination. - `count` (optional number): Max number of hosts to return (max: 1000). - `from` (optional number): Search hosts from this UNIX timestamp. - `include_muted_hosts_data` (optional boolean): Include muted hosts status and expiry. - `include_hosts_metadata` (optional boolean): Include host metadata (version, platform, etc). - **Returns**: Array of hosts with details including name, ID, aliases, apps, mute status, and more. 10. `get_active_hosts_count` - Get the total number of active hosts in Datadog. - **Inputs**: - `from` (optional number): Number of seconds from which you want to get total number of active hosts (defaults to 2h). - **Returns**: Count of total active and up hosts. 11. `mute_host` - Mute a host in Datadog. - **Inputs**: - `hostname` (string): The name of the host to mute. - `message` (optional string): Message to associate with the muting of this host. - `end` (optional number): POSIX timestamp for when the mute should end. - `override` (optional boolean): If true and the host is already muted, replaces existing end time. - **Returns**: Success status and confirmation message. 12. `unmute_host` - Unmute a host in Datadog. - **Inputs**: - `hostname` (string): The name of the host to unmute. - **Returns**: Success status and confirmation message. 13. `list_downtimes` - List scheduled downtimes from Datadog. - **Inputs**: - `currentOnly` (optional boolean): Return only currently active downtimes when true. - `monitorId` (optional number): Filter by monitor ID. - **Returns**: Array of scheduled downtimes with details including scope, monitor information, and schedule. 14. `schedule_downtime` - Schedule a downtime in Datadog. - **Inputs**: - `scope` (string): Scope to apply downtime to (e.g. 'host:my-host'). - `start` (optional number): UNIX timestamp for the start of the downtime. - `end` (optional number): UNIX timestamp for the end of the downtime. - `message` (optional string): A message to include with the downtime. - `timezone` (optional string): The timezone for the downtime (e.g. 'UTC', 'America/New_York'). - `monitorId` (optional number): The ID of the monitor to mute. - `monitorTags` (optional array): A list of monitor tags for filtering. - `recurrence` (optional object): Recurrence settings for the downtime. - `type` (string): Recurrence type ('days', 'weeks', 'months', 'years'). - `period` (number): How often to repeat (must be >= 1). - `weekDays` (optional array): Days of the week for weekly recurrence. - `until` (optional number): UNIX timestamp for when the recurrence ends. - **Returns**: Scheduled downtime details including ID and active status. 15. `cancel_downtime` - Cancel a scheduled downtime in Datadog. - **Inputs**: - `downtimeId` (number): The ID of the downtime to cancel. - **Returns**: Confirmation of downtime cancellation. 16. `get_rum_applications` - Get all RUM applications in the organization. - **Inputs**: None. - **Returns**: List of RUM applications. 17. `get_rum_events` - Search and retrieve RUM events from Datadog. - **Inputs**: - `query` (string): Datadog RUM query string. - `from` (number): Start time in epoch seconds. - `to` (number): End time in epoch seconds. - `limit` (optional number): Maximum number of events to return (default: 100). - **Returns**: Array of RUM events. 18. `get_rum_grouped_event_count` - Search, group and count RUM events by a specified dimension. - **Inputs**: - `query` (optional string): Additional query filter for RUM search (default: "\*"). - `from` (number): Start time in epoch seconds. - `to` (number): End time in epoch seconds. - `groupBy` (optional string): Dimension to group results by (default: "application.name"). - **Returns**: Grouped event counts. 19. `get_rum_page_performance` - Get page (view) performance metrics from RUM data. - **Inputs**: - `query` (optional string): Additional query filter for RUM search (default: "\*"). - `from` (number): Start time in epoch seconds. - `to` (number): End time in epoch seconds. - `metricNames` (array of strings): Array of metric names to retrieve (e.g., 'view.load_time', 'view.first_contentful_paint'). - **Returns**: Performance metrics including average, min, max, and count for each metric. 20. `get_rum_page_waterfall` - Retrieve RUM page (view) waterfall data filtered by application name and session ID. - **Inputs**: - `applicationName` (string): Application name to filter events. - `sessionId` (string): Session ID to filter events. - **Returns**: Waterfall data for the specified application and session. ## Setup ### Datadog Credentials You need valid Datadog API credentials to use this MCP server: - `DATADOG_API_KEY`: Your Datadog API key - `DATADOG_APP_KEY`: Your Datadog Application key - `DATADOG_SITE` (optional): The Datadog site (e.g. `datadoghq.eu`) - `DATADOG_SUBDOMAIN` (optional): The Datadog subdomain (e.g. `.datadoghq.com`) - `DATADOG_STORAGE_TIER` (optional): Logs storage tier for v2 logs searches. Supported values: `indexes`, `online-archives`, or `flex`. Export them in your environment before running the server: ```bash export DATADOG_API_KEY="your_api_key" export DATADOG_APP_KEY="your_app_key" export DATADOG_SITE="your_datadog_site" # Optional export DATADOG_SUBDOMAIN="your_datadog_subdomain" # Optional export DATADOG_STORAGE_TIER="flex" # Optional: indexes | online-archives | flex ``` ## Installation ### Installing via Smithery To install Datadog MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@winor30/mcp-server-datadog): ```bash npx -y @smithery/cli install @winor30/mcp-server-datadog --client claude ``` ### Manual Installation ```bash pnpm install pnpm build pnpm watch # for development with auto-rebuild ``` ## Usage with Claude Desktop To use this with Claude Desktop, add the following to your `claude_desktop_config.json`: On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json` On Windows: `%APPDATA%/Claude/claude_desktop_config.json` ```json { "mcpServers": { "github": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"], "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "" } } } } ``` ```json { "mcpServers": { "datadog": { "command": "/path/to/mcp-server-datadog/build/index.js", "env": { "DATADOG_API_KEY": "", "DATADOG_APP_KEY": "", "DATADOG_SITE": "", // Optional "DATADOG_SUBDOMAIN": "", // Optional "DATADOG_STORAGE_TIER": "indexes" // Optional: indexes | online-archives | flex } } } } ``` Or specify via `npx`: ```json { "mcpServers": { "mcp-server-datadog": { "command": "npx", "args": ["-y", "@winor30/mcp-server-datadog"], "env": { "DATADOG_API_KEY": "", "DATADOG_APP_KEY": "", "DATADOG_SITE": "", // Optional "DATADOG_SUBDOMAIN": "", // Optional "DATADOG_STORAGE_TIER": "indexes" // Optional: indexes | online-archives | flex } } } } ``` ## Debugging Because MCP servers communicate over standard input/output, debugging can sometimes be tricky. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector). You can run the inspector with: ```bash npm run inspector ``` The inspector will provide a URL you can open in your browser to see logs and send requests manually. ## Contributing Contributions are welcome! Feel free to open an issue or a pull request if you have any suggestions, bug reports, or improvements to propose. ## License This project is licensed under the [Apache License, Version 2.0](./LICENSE).

Mcp Server Datadog

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Mcp Server Datadog

Install