rateme12datadog-mcp
latest · 1.0.9Full Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools
- MCP registry
- io.github.tantiope/datadog-mcp
Install
Needs env vars: DD_API_KEY, DD_APP_KEY — replace the <placeholders> with your values.
claude mcp add io-github-tantiope-datadog-mcp --env DD_API_KEY=<DD_API_KEY> --env DD_APP_KEY=<DD_APP_KEY> -- npx datadog-mcp/mcp confirms it's connected.
Or add it manually in ~/.cursor/mcp.json:
{
"mcpServers": {
"io-github-tantiope-datadog-mcp": {
"command": "npx",
"args": [
"datadog-mcp"
],
"env": {
"DD_API_KEY": "<DD_API_KEY>",
"DD_APP_KEY": "<DD_APP_KEY>"
}
}
}
}In claude_desktop_config.json (Settings → Developer → Edit Config), then restart:
{
"mcpServers": {
"io-github-tantiope-datadog-mcp": {
"command": "npx",
"args": [
"datadog-mcp"
],
"env": {
"DD_API_KEY": "<DD_API_KEY>",
"DD_APP_KEY": "<DD_APP_KEY>"
}
}
}
}Config entry, any MCP client:
{
"command": "npx",
"args": [
"datadog-mcp"
],
"env": {
"DD_API_KEY": "<DD_API_KEY>",
"DD_APP_KEY": "<DD_APP_KEY>"
}
}Community score
Community42/ 100
from web signals · no reviews yet (community v3)
- Web signals (ecosystem baseline)42/100 · 100% of the weight
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What the web says
Ecosystem baseline42/ 100
Objective public usage & activity (formula v3) — the community score's web-signals input, and its own sort.
GitHubsource ↗
- GitHub stars · 10 days ago
- ★ 6
- Last commit · 1 month ago
- today
- Issue close rate · 10 days ago
- 57%
- Release cadence · 10 days ago
- multiple releases a day
- Latest release · 10 days ago
- v5.8.2
- License · 10 days ago
- Apache-2.0
Packages
No package-registry data collected yet.
Listed on
- Glama · 17 hours ago
- Listed · Glama quality score 3.9 ↗
Mentions
Quotes3
- Datadog's Applied AI team tracks eval scores to check how well the Datadog MCP server is performing. If that score stays exactly the same from one week to the next, does that mean nothing changed? Watch the full Datadog Illuminated episode:… ↗
- The Datadog MCP Server now includes a Code Execution toolset that lets AI agents run multisignal investigations with fewer tool calls and less model context. Source: Datadog ↗
- Scott Yak's team runs 200 evaluation scenarios against the Datadog MCP server in about 2 minutes, on a local computer. Speedy! How do they do it? Watch the full Datadog Illuminated episode: https://youtu.be/HZ4n1h8j8MY #Datadog #MCP #AIAgen… ↗
Docs & liveness
No liveness or verification signals yet.
Version history1
- 1.0.9release date unknown
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- Transport
- stdio
- Status
- listed
- Source
- Imported from the MCP registry
- Repository
- source ↗