Datadogvf.sr
listing.by · home.legend.verified
Query Datadog logs, metrics, traces, monitors, dashboards and incidents from your AI assistant.
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mcp.tc/i/datadoglisting.about
Connects an AI assistant to a Datadog account so it can read observability data such as logs, metrics, traces, monitors, dashboards and incidents. It is meant for investigating production problems with live data.
It runs as a hosted streamable HTTP endpoint. The URL differs per Datadog site (the US1 endpoint is mcp.datadoghq.com). Users sign in with OAuth, or send DD_API_KEY and DD_APPLICATION_KEY headers as an alternative. The path contains "unstable", so behavior may change.
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- Search and read logs
- Query metrics and traces
- Inspect monitors and their status
- Browse dashboards
- Look up incidents
listing.tools
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Show error logs for the checkout service in the last hour
Which Datadog monitors are alerting right now?
List open incidents and summarize the most recent one
Query CPU usage metrics for my production hosts over the last day
listing.setup.h
listing.setup.oauth
Claude Code
- Run this in a terminal, in your project folder:
claude mcp add --transport http datadog https://mcp.datadoghq.com/api/unstable/mcp-server/mcp- Start Claude Code, type
/mcp, pick datadog and choose Authenticate. A browser window opens for the Datadog sign-in.
Add --scope user to make it available in every project, not just this one.
Claude Desktop
- Open Settings → Connectors and click Add custom connector.
- Name it Datadog and paste this URL:
https://mcp.datadoghq.com/api/unstable/mcp-server/mcp- Click Add, then Connect, and sign in when Datadog asks.
Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.
claude.ai
- Open the connector form on claude.ai. This button fills in the name and URL for you:
- Check that the URL reads
https://mcp.datadoghq.com/api/unstable/mcp-server/mcpand click Add. - Click Connect and sign in when Datadog asks.
Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.
ChatGPT
- On chatgpt.com, open Settings → Security and login and turn on Developer mode.
- Go to
chatgpt.com/pluginsand click + to create an app for a remote MCP server. - Paste
https://mcp.datadoghq.com/api/unstable/mcp-server/mcpas the server URL and choose OAuth. ChatGPT sends you to Datadog to sign in.
Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.
Cursor
Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):
{
"mcpServers": {
"datadog": {
"url": "https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"
}
}
}Cursor shows Needs login next to the server. Click it to sign in.
VS Code
Install in VS Code a11y.new_tab
Or from a terminal:
code --add-mcp '{"name":"datadog","type":"http","url":"https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"}'Or commit it to the repo in .vscode/mcp.json:
{
"servers": {
"datadog": {
"type": "http",
"url": "https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"
}
}
}VS Code asks you to sign in the first time the server starts.
Devin Desktop
- Add it to
~/.config/devin/mcp_config.json(macOS and Linux) or%APPDATA%\devin\mcp_config.json(Windows):
{
"mcpServers": {
"datadog": {
"serverUrl": "https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"
}
}
}- Refresh the MCP server list in Cascade and sign in when asked.
Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.
Codex
codex mcp add datadog --url https://mcp.datadoghq.com/api/unstable/mcp-server/mcp
codex mcp login datadogOr edit ~/.codex/config.toml directly:
[mcp_servers.datadog]
url = "https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"Gemini CLI
gemini mcp add --transport http datadog https://mcp.datadoghq.com/api/unstable/mcp-server/mcpThen, inside Gemini CLI, run /mcp auth datadog to sign in.
This adds it to the current project. Add -s user to use it everywhere.
Any client
Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.
{
"mcpServers": {
"datadog": {
"type": "http",
"url": "https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"
}
}
}Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.
Client only starts local servers? Bridge it with npx -y mcp-remote https://mcp.datadoghq.com/api/unstable/mcp-server/mcp.
listing.faq
Can I paste mcp.tc/i/datadog into my MCP client?
No. mcp.tc links are pages, not server addresses. Connect with https://mcp.datadoghq.com/api/unstable/mcp-server/mcp, so your client talks to Datadog directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.
Does Datadog need an API key or a sign-in?
Yes, you need a Datadog account. The first time your client connects, it opens Datadog's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.
Is Datadog a remote or a local server?
Remote. Datadog hosts it at https://mcp.datadoghq.com/api/unstable/mcp-server/mcp, and it speaks Streamable HTTP. There's nothing to install.
What can Datadog do?
You can search and read logs, query metrics and traces and inspect monitors and their status.
Which clients can use it?
Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.
Who wrote this page?
mcp.tc's robot read Datadog's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.
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