Splunk MCP server (Splunk AI Assistant in Observability Cloud)
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Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
get_metric_names— Search for metric names using wildcard search termsget_metric_metadata— Get dimensions, properties, and sample values for specific metricsgenerate_signalflow_program— Generate a SignalFlow program from a natural language promptexecute_signalflow_program— Execute a SignalFlow program and return the data streamget_apm_environments— List APM environmentsget_apm_services— List services in a given environmentget_apm_service_dependencies— Get inbound and outbound dependencies with requests and latenciesget_apm_service_latency— Get latency breakdown by tag for a serviceget_apm_service_errors_and_requests— Get error and request breakdown by tagget_apm_exemplar_traces— Get sample traces (errors, latency buckets, etc.)get_apm_trace_tool— Get trace details and spans for a specific trace IDsearch_alerts_or_incidents— Search for alerts or incidents
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.