# Connect Datadog with Unblocked to connect alerts to recent changes URL: https://getunblocked.com/integrations/datadog/ Unblocked integrates with Datadog to give AI coding agents and developers cited context from your incidents, logs, metrics, monitors, and hosts — connected to the code and pull requests behind them. --- ## Datadog integration details - **Category:** Incident & monitoring - **Indexed data:** incidents, logs, metrics, monitors, hosts - **Supported products:** Datadog - **Works with:** Claude Code, Cursor, Windsurf, GitHub Copilot, Codex, VS Code — via one MCP server connection - **Content reviewed:** July 20, 2026 - **Documentation:** - **Website:** ## What the Datadog integration adds Datadog adds production evidence to engineering research: incidents describe impact, monitors expose alert conditions, and logs and metrics show what the system was doing. Unblocked connects those signals to code, pull requests, and team discussion so an agent can investigate beyond the symptom. Monitoring context is reconciled with your code, pull requests, and discussions, so an investigation can connect a symptom to the recent change most likely to have caused it — not just describe the alert. Once connected, any MCP-compatible coding agent — Claude Code, Cursor, Windsurf, GitHub Copilot, Codex — can pull this context through a single Unblocked MCP server connection. ### What you get - **Incidents, logs, metrics, monitors, hosts** — Unblocked references your Datadog telemetry when answering questions about outages, alerts, and production issues, and cites the resource it used. - **Symptom-to-change correlation** — Because Datadog data sits alongside your code and pull requests, investigations connect an alert to the recent change most likely responsible. - **Read-only, region-aware connection** — An API key and read-only application key connect your organization; you pick the Datadog region during setup. - **Cross-source synthesis** — Datadog signals are combined with your code, pull requests, Sentry issues, and Slack threads into a single knowledge graph. ## How to connect Datadog to Unblocked Prerequisites: - An Unblocked account (free to start). - A Datadog API key and an application key with read-only scopes, plus your Datadog region. - An MCP-compatible coding agent (Claude Code, Cursor, Windsurf, etc.) to use the context in your editor. ### Step 1: Connect Datadog to Unblocked 1. In Unblocked, go to Settings → Data Sources → Connect another data source, and under Incident Management select Datadog. 2. In Datadog, create an API key (Organization Settings → API Keys). 3. Create an application key with the read-only scopes listed in the docs (events_read, incident_read, logs_read_data, timeseries_query, monitors_read, hosts_read, service-catalog read, user_access_read). 4. Paste both keys into Unblocked, select your Datadog region (US1 is the default), and click Next. See the complete setup guide, screenshots, and troubleshooting: ### Step 2: Install the Unblocked MCP server On macOS, one command auto-detects and configures your supported agents (Claude Code, Cursor, Windsurf, GitHub Copilot, Codex, VS Code): ```bash curl -fsSL https://getunblocked.com/install-mcp.sh | bash ``` The install script supports macOS only. On Windows or Linux, add the server manually using the configuration below, or follow the manual install guide: Claude Code — add the remote server, then run /mcp in Claude Code, select unblocked, and log in via OAuth: ```bash claude mcp add -s user --transport http unblocked https://getunblocked.com/api/mcpsse ``` Cursor — open View: Open MCP Settings → Add Custom MCP, add the server, then click Connect to authenticate via OAuth: ```json { "mcpServers": { "unblocked": { "url": "https://getunblocked.com/api/mcpsse" } } } ``` Any MCP-compatible client (Windsurf, Codex, VS Code, Claude Desktop, and others) can connect to the remote server with OAuth: `https://getunblocked.com/api/mcpsse` ## Connect Datadog to Claude Code, Cursor, and other AI agents To give Claude Code, Cursor, GitHub Copilot, Codex, or another MCP-compatible AI coding agent access to Datadog context, connect Datadog to Unblocked and add the single Unblocked MCP server to your agent. Unblocked acts as the MCP context layer for your Datadog data, searching incidents, logs, metrics, monitors, hosts alongside your other connected sources and returning cited results through these tools: - **`context_research`** — Multi-source research across your Datadog incidents, logs, metrics, monitors, and hosts, plus your code, pull requests, and other connected sources. Returns a synthesized answer with citations back to the Datadog resource it used. - **`context_get_urls`** — Fetches the full content behind a Datadog resource URL your agent encounters — plus GitHub, Jira, Sentry, Slack, and more. ## Questions to ask an AI agent about Datadog Questions you (or your agent) can ask Unblocked about your Datadog data: - "What recent change most likely caused this Datadog alert?" - "Which deploy correlates with the latency spike on the checkout service?" - "What do the logs show around the time of the last incident?" - "Which monitors are currently alerting, and what changed recently?" ## Related integrations - [Sentry](https://getunblocked.com/integrations/sentry/) — Issues, errors, and events from Sentry — connected to the code and pull requests behind them for faster root-cause analysis. - [GitHub](https://getunblocked.com/integrations/github/) — Repositories, pull requests, issues, discussions, and full code history — indexed, kept in sync on every push, and cited in answers. - [Slack](https://getunblocked.com/integrations/slack/) — Public and private channels and threads — indexed with access permissions respected, plus in-Slack Q&A by @mentioning Unblocked. - [Jira](https://getunblocked.com/integrations/jira/) — Issues and projects from Jira Cloud and Data Center — with sprint-aware answers that connect tickets to the code and PRs behind them. ## Get started with Unblocked - Start a free trial: - Pricing: - Documentation: - All integrations: