Starting point for exploring how a PostHog MCP server's tools are used — routes a broad question to the typed tool that answers it. Use when the user asks "how is my MCP doing?", "what should I look at?", "explore my tool calls", "who uses my MCP tools?", "what are agents doing with the MCP?", or pastes an MCP analytics URL without a specific question. Offers a menu of questions, each backed by a query tool, then hands off to the focused skill.
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Any MCP server instrumented with the @posthog/mcp SDK emits a $mcp_tool_call
event every time an agent invokes a tool. This skill is the front door for a
user who knows they want to look at their MCP tool usage but hasn't picked a
specific question. Offer the menu below, then route to the tool — or the focused
skill — that answers what they choose.
Every per-tool tool here is gated behind the mcp-analytics flag, takes a
toolName (the effective tool name — resolved server-side, so pass the name the
agent actually invokes — except posthog:query-mcp-tool-failures, which
matches $exception events and so takes the raw registered $mcp_tool_name)
plus a dateRange, and runs the same query runner the tool-detail UI uses. So
results match the UI, and you never hand-write the HogQL.
Lead with these when the user is unsure what to ask:
| Ask the user… | Answered by |
|---|---|
| "Which tools fail most, or are slowest?" | exploring-mcp-tool-quality (ranks all tools), then posthog:query-mcp-tool-stats to drill in |
| "How is tool X doing overall?" | posthog:query-mcp-tool-stats — calls, errors, p50/p95, users, sessions, intents |
| "How has tool X trended?" | posthog:query-mcp-tool-daily-stats — day-by-day series |
| "Why is tool X failing?" | posthog:query-mcp-tool-failures — top error messages, by harness (raw tool name) |
| "Who uses tool X the most?" | posthog:query-mcp-tool-top-users — top callers (incl. person email/name) |
| "What gets called right before/after tool X?" | posthog:query-mcp-tool-neighbors (neighborDirection: before/after) |
| "What are agents trying to do with tool X?" | posthog:query-mcp-tool-sample-intents — recent agent intents |
| "What description is tool X registered with?" | posthog:query-mcp-tool-descriptions — distinct descriptions seen |
| "Which harnesses use my MCP, how reliably?" | posthog:query-mcp-harness-breakdown — calls/errors/sessions per client |
| "What are agents trying to do, across all tools?" | exploring-mcp-intent-clusters — semantic goal clusters |
| "Who is connecting, and how active are they?" | posthog:mcp-analytics-sessions-list — one row per session, with client and person |
| "What did this one session do?" | exploring-mcp-sessions — a single agent run's tool sequence |
The per-tool tools need a toolName. If the user named a tool, pass it. If they
asked a broad "which tool…" question, start with exploring-mcp-tool-quality to
rank the tools, pick the one that stands out, then drill in with the per-tool
tools above. The name to pass is the effective tool name (the inner tool for
single-exec wrapper calls) — the same string the tool-quality ranking returns.
The one exception is posthog:query-mcp-tool-failures, which matches $exception
events by the raw registered $mcp_tool_name, not the effective inner tool.
Call it with the tool name and a window, e.g. for the headline numbers of a tool:
posthog:query-mcp-tool-stats { "toolName": "<tool>", "dateRange": { "date_from": "-7d" } }Then offer a natural follow-up from the menu — e.g. after
posthog:query-mcp-tool-stats shows a high error rate, reach for
posthog:query-mcp-tool-failures; after it shows broad reach, reach for
posthog:query-mcp-tool-top-users or posthog:query-mcp-tool-neighbors.
Covered by a typed tool — don't hand-write SQL for these:
| Question | Tool |
|---|---|
| One tool's headline numbers | posthog:query-mcp-tool-stats |
| One tool's day-by-day trend | posthog:query-mcp-tool-daily-stats |
| One tool's top errors | posthog:query-mcp-tool-failures |
| One tool's top callers | posthog:query-mcp-tool-top-users |
| Tools called before/after one tool | posthog:query-mcp-tool-neighbors |
| One tool's recent agent intents | posthog:query-mcp-tool-sample-intents |
| One tool's registered descriptions | posthog:query-mcp-tool-descriptions |
| Usage split by client harness | posthog:query-mcp-harness-breakdown |
| List sessions | posthog:mcp-analytics-sessions-list |
| One session's tool calls | posthog:mcp-analytics-sessions-tool-calls |
Not covered — use posthog:execute-sql:
posthog:mcp-analytics-sessions-tool-calls
returns the raw $mcp_tool_name, not the inner tool of a wrapper call)posthog:execute-sql is also the fallback when the mcp-analytics flag is off —
every tool in the table above is gated behind it, execute-sql is not. Query
$mcp_tool_call directly; the schema and recipes are in
models-mcp.md.
exploring-mcp-tool-quality — rank
tools by error rate / latency / reach, then drill inexploring-mcp-sessions — a single agent
run and its tool sequenceexploring-mcp-intent-clusters —
agent goals grouped by semantic similaritybb04e92
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.