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You can install MCPulse as a reusable skill for AI agents that support the skills ecosystem. This gives your agent a versioned workflow guide for reading MCPulse instead of leaving it to infer how the pieces fit together each time.

Install

What the skill covers

The mcpulse skill helps your agent:
  • understand the shape of an account — MCP → tool, session and call — and why a tool exists from the moment a client initialises rather than from its first call
  • narrow get_overview with metrics instead of pulling the whole overview to read one field out of it
  • name an MCP directly rather than spending a list_mcps round trip first, and recover correctly when a name is unknown or ambiguous
  • prefer last_days over computing dates, and reserve from/to for a named calendar period
  • follow the diagnostic order — insights first, rank by calls × failure rate, then read the outcome breakdown, which separates a schema problem from a silent-empties problem from a description problem
  • leave alone what the API already computed: deltas, which direction counts as an improvement, cost conversion, and insight verdicts
  • say “as of yesterday” when quoting the three metrics the nightly pass computes
It also names the behaviours that read as failures but are not: a null first-call rate that means not yet computed rather than zero, sessions and cost blanked under a tool filter, a p95 that is a bucket edge rather than a value, empty tool pairs, insights suppressed below 20 calls, and a “dead” tool that is simply outside the date range.

Why use a skill

Without one, your agent has to work out MCPulse’s workflows from tool descriptions alone. A description says what one tool does; it cannot say which one to reach for, or what a null means. With a skill you give it:
  • a stable reference for how the product fits together
  • use-case driven guidance instead of tool-by-tool guessing
  • explicit caveats for what the connector cannot do and should hand back to the dashboard
  • a versioned source of truth you can update as MCPulse evolves

Repository

The public source lives here:

Install notes

  • After installing, restart your AI tool if it does not pick up the new skill immediately
  • Pair it with the MCP connector — the skill explains the workflows, the connector executes them
  • The connector writes as well as reads, under your own role. The skill says which tools are destructive and which two deliberately do not exist
  • The skills ecosystem is supported by Claude Code and claude.ai. If you use MCPulse through another client, the connector still ships the essentials in its own tool descriptions

Documentation index

Agents can discover every page in these docs at the docs’ llms.txt.