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licenseA
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maintenanceEnables Claude Code to query and control the SuperInstance fleet, including fleet status, conservation law checks, semantic search, and agent registry.
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20 npm
MIT
Best Datadog MCP Servers
Datadog is a monitoring and analytics platform for cloud-scale applications that provides visibility into application performance, infrastructure metrics, logs, and user experience.
Why this server?
Integrates with Datadog for monitoring fleet status, conservation balance, and convergence metrics in custom dashboards.
Why this server?
Allows sending traces to Datadog via OpenTelemetry.
AlicenseAqualityAmaintenanceSelf-hosted semantic code search for AI coding agents. Indexes many repositories at once with tree-sitter AST chunking, local llama.cpp embeddings and Qdrant, so Claude Code, Cursor, Codex and any MCP client can find code by meaning, trace usages and callers, and read the git history behind each chunk. No API keys, and your code never leaves your machine.21834MITWhy this server?
Allows exporting audit events and GPU metrics to Datadog for monitoring and alerting.
vibops-mcpofficial
AlicenseAqualityCmaintenanceVibOps MCP is the control plane between your AI agents and your GPU infrastructure. 74 tools covering: GPU fleet management (deploy, scale, monitor across NVIDIA, AMD, Intel, AWS, Google, Groq), Agent Infrastructure Control Plane (per-agent GPU cost, budget enforcement, model policies, dependency graph), governance (AI Act, SOC 2, immutable HMAC audit chain), and GPU FinOps (chargeback, waste..)..741,953 PyPI20MITWhy this server?
Allows creating Datadog forwarders to stream audit events to Datadog.
smplkit MCP Serverofficial
AlicenseAqualityBmaintenanceEnables AI agents to create, run, and monitor scheduled HTTP jobs on the smplkit platform via natural language commands.29MITWhy this server?
Provides architecture-aware visual styling for Datadog monitoring components within Excalidraw diagrams.
AlicenseBqualityBmaintenanceAn MCP server that generates beautiful Excalidraw architecture diagrams with perfect auto-layout, stateful editing, and architecture-aware component styling.226397 PyPI160MITWhy this server?
Fronts the Datadog MCP server, routing requests to its monitoring, logs, metrics, and incident tools when Datadog is judged relevant to the request.
jev-routerofficial
AlicenseAqualityCmaintenanceEnables agents to connect through a single gateway that has a decision model pick which MCP tools and playbooks are relevant to each request, so the LLM only sees the few schemas it needs, and to then invoke those tools on the underlying servers. This cuts tool-selection cost and prompt size dramatically when many MCP servers are connected.24MITWhy this server?
Backfills per-pattern log volume and cost metrics into Datadog (configured via DD_API_KEY / DD_APP_KEY / DD_SITE) through the log10x_backfill_metric tool, so cost views light up alongside existing Datadog dashboards.
Log10x MCP Serverofficial
AlicenseAqualityBmaintenanceRanks log patterns by volume and cost on Splunk, Datadog, Elasticsearch, CloudWatch and ClickHouse, and plans compact, tier down or offload for the excess over each cap. Runs locally over stdio; no log data reaches log10x. Read-only against a public demo dataset without an API key.564,345 npm1MITWhy this server?
Detects and redacts Datadog API keys and application keys in text.
classifinder-mcpofficial
AlicenseAqualityBmaintenanceEnables AI agents to scan text for leaked secrets and prompt injection markers, and redact them before reaching an LLM.21MITWhy this server?
Provides access to Datadog's Toto 2 zero-shot forecasting foundation model via the `toto2-313m` model name, enabling time-series forecasting with prediction intervals.
AlicenseAqualityAmaintenanceEnables AI clients to produce probabilistic forecasts with prediction intervals for numeric time series such as sales, demand, traffic, and sensor readings, using a panel of zero-shot foundation models or an accuracy-weighted ensemble. Supports up to 64 series per call, optional covariates, horizons up to 512 steps, and usage or credit checks, all without training or feature engineering.436 npmMIT
