Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly observability and monitoring, search and retrieval — source available on GitHub.
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Catalogue record
github.com
datadog-mcp-server
📇 ☁️ 🍎 🪟 🐧 - MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace fil...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 ☁️ 🍎 🪟 🐧 - MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly observability and monitoring, search and retrieval — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
Datadog MCP Server
GitHub / TANTIOPE/datadog-mcp-server
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