model-context-protocol · developer-tools · server-monitoring · 0 triggers · 8 actions
Polar Signals MCP lets engineering agents inspect continuous profiling projects and performance data to diagnose regressions and optimization opportunities. Add Polar Signals MCP to your Stream Deck workflows with guided setup for the connection details it needs.
Add Polar Signals MCP to a workflow and pair it with a Stream Deck button to run it in one press — handy for model-context-protocol tasks. Combine it with OBS, your Elgato tools, or any other app you connect to build a routine that fits how you work.
Browse all templatesSteps your workflow can perform in Polar Signals MCP.
List all projects accessible to the current user. IMPORTANT: Call this FIRST before using any other tools. Returns project IDs and names. You need a project ID for all other tool calls. If only one project is returned, use it automatically. If a project is specified in the user's instructions (e.g. claude.md or system prompt), prefer that one. Otherwise, ask the user which project to use.
Return a flame graph as a breadth-first call tree. Each row has id, parent (the parent row's id, -1 = a root), depth, cumulative, flat, function_name — rebuild the tree via the parent pointers. Unsymbolized frames (no function_name) instead carry their hex memory address in an extra 'address' column, shown only when such frames are present. Use this for a top-down picture of where time goes; 'query_profile_table' gives a flat ranked list and 'query_profile_sandwich' focuses on one function. Drill into a subtree with 'focus_path'. Same query syntax as 'query_profile_table'.
List the values a profiling label takes (e.g. the process names for the 'comm' label). These are label values used to filter queries — not the sampled values of the profile itself. Use it to discover valid filter values; only use label names from 'query_profile_labels'.
Get available label names for a specific profile type. Call this after 'profile_types' to discover what labels exist. You MUST use exact profile type strings from 'profile_types' output. Returns label names that can be used with 'values' and in 'query_profile_table' queries - do not invent label names.
Show the calling context around a specific function: which functions call it (callers) and which functions it calls (callees). Use this after 'query_profile_table' to drill into a specific function. The function_name should be an exact function name from 'query_profile_table' results.
Retrieve per-line profiling data for a specific source file. Returns line numbers with flat and cumulative sample counts — without returning the source code itself (read the file directly and correlate using line numbers).
Query profiling data as a flat table of functions sorted by cumulative time. Recommended workflow: first call 'list_projects', then 'profile_types', then 'labels', then 'values' to discover valid query components. Query syntax: 'profile_type{label="value"}' where all components come from previous tool outputs. With symbolized=false, unsymbolized rows (no function_name) gain an 'address' column carrying their hex memory address.
ProfileTypes returns the list of available profile types. IMPORTANT: Call 'list_projects' first to get a project ID. Profile types follow the format 'name:sample_type:sample_unit:period_type:period_unit[:delta]' (e.g. 'parca_agent:samples:count:cpu:nanoseconds:delta'). You MUST use these exact strings when calling 'labels' or 'query_profile_table' - do not invent or shorten profile type names.
Polar Signals MCP lets engineering agents inspect continuous profiling projects and performance data to diagnose regressions and optimization opportunities.
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