mcpField
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exploring-mcp-sessions

exploring-mcp-sessions

github.com/posthogData & databases95162 installsUpdated today
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About exploring-mcp-sessions

This skill helps analyze MCP sessions, defined as an agent run’s tool calls grouped by `$session_id` and ordered by time. It prioritizes typed tools for listing sessions, reading calls, and summarizing goals, and explains when to use SQL instead.

Key features

  1. 01Lists sessions with timing and call details
  2. 02Reads one session’s calls chronologically
  3. 03Summarizes session goals with an LLM
  4. 04Uses SQL for errors and cross-session analysis
  5. 05Explains date-window and tool-name limitations

Use cases

  1. 01Reviewing recent agent runs and tools used
  2. 02Reconstructing the calls in one session
  3. 03Summarizing a session goal and finding failures
  4. 04Aggregating sessions across tools or dates

MCP support

The skill uses PostHog MCP tools to list sessions, read tool calls, and generate goal summaries. It also uses `posthog:execute-sql` when querying errored sessions or cross-session data.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/posthog/ai-plugin --skill exploring-mcp-sessions

After installing, type/exploring-mcp-sessionsin Claude Code to confirm it loaded.

Details

From the project README

Exploring MCP sessions

An MCP session is one agent run: the set of $mcp_tool_call events sharing a $session_id, ordered by timestamp.

Listing sessions, reading a session's tool calls, and summarising its goal each have a typed tool — reach for those first. Drop to HogQL only for the three things the typed tools genuinely can't do (see When to drop to SQL). The full $mcp_* property schema and query recipes live in the shared reference: models-mcp.md.

Tools

ToolPurpose
posthog:mcp-analytics-sessions-listList sessions — one row per session, newest first
posthog:mcp-analytics-sessions-tool-callsOne session's tool calls, chronological
posthog:mcp-analytics-sessions-generate-intentLLM summary of a session's goal (cached after first call)
posthog:execute-sqlErrored sessions, effective tool names, cross-session cuts

The three mcp-analytics-* tools run the same code as the sessions UI, so results match the screen. If they aren't in your tool list, fall back to posthog:execute-sql.

The date-window trap — read this first

The two detail tools default to a 7-day lookback. A session you found in a list that reaches further back will come back empty unless you pass its session_start as date_from:

  • posthog:mcp-analytics-sessions-tool-calls — date_from is an absolute ISO timestamp; pass the session_start you got from posthog:mcp-analytics-sessions-list.
  • posthog:mcp-analytics-sessions-generate-intent — same date_from query param, same reason.

Empty tool calls for a session that visibly exists is almost always this, not a data problem. Carry session_start forward from the list row.

Workflow: list recent sessions

posthog:mcp-analytics-sessions-list
{ "date_from": "-7d", "order_by": "-session_start", "limit": 100 }

Each row: session_id, tool_calls, session_start, session_end, tools_used, mcp_client_name, distinct_id (+ resolved person_email / person_name), and intent (empty until generated). Response is { results, has_next } — page with limit / offset.

Three sharp edges:

  • order_by takes column names, not response field names. Sort call volume as tool_call_count (not tool_calls). duration_seconds sorts fine even though it isn't returned. An unrecognised key silently falls back to newest-first — so verify the order you got is the order you asked for. Valid: session_id, session_start, session_end, duration_seconds, tool_call_count, mcp_client_name, distinct_id; prefix - to descend.
  • There is no error filter and no error count on a session row. "Which sessions had errors?" is a SQL question — see below.
  • distinct_id_count is always 0. The field is in the response but the backend never populates it, so don't read it as "one distinct id per session" — it says nothing. To count distinct ids in a session, use SQL.

search does a case-insensitive substring match across session_id, distinct_id, mcp_client_name, and tools_used.

Workflow: read one session's tool calls

posthog:mcp-analytics-sessions-tool-calls
{ "id": "<session_id>", "date_from": "<session_start>", "limit": 500 }

Chronological tool_name, intent, timestamp, duration_ms, is_error, error_message — read top to bottom to reconstruct the run. limit defaults to 500 (also the max), which is the whole page for almost every session; has_next tells you if more remain.

Caveat: tool_name here is the raw $mcp_tool_name. Unlike the tool-quality and tool-detail tools, this endpoint does not resolve the inner tool of a single-exec wrapper call, so wrapper calls show the wrapper. When the inner tool is what matters (comparing against a tool-quality ranking, tracing a specific tool through a run), use the SQL recipe below instead. The same applies to tools_used on the session list.

Workflow: summarise the agent's goal

posthog:mcp-analytics-sessions-generate-intent
{ "id": "<session_id>", "date_from": "<session_start>" }

Summarises the session's recorded $mcp_intent values via an LLM and persists the result; later calls return the cached summary. Returns { session_id, intent }. A 503 means LLM summarisation isn't configured — fall back to reading the raw $mcp_intent values from the tool-call list.

When to drop to SQL

Four cases, all via posthog:execute-sql.

1. The typed tools aren't in your tool list. Everything below still works; this query is the plain session listing:

SELECT
    $session_id AS session_id,
    min(timestamp) AS session_start,
    max(timestamp) AS session_end,
    dateDiff('second', min(timestamp), max(timestamp)) AS duration_seconds,
    count() AS tool_calls,
    countIf(toBool(properties.$mcp_is_error)) AS errors,
    any(properties.$mcp_client_name) AS client
FROM events
WHERE event = '$mcp_tool_call'
    AND $session_id != ''
    AND timestamp >= now() - INTERVAL 7 DAY
GROUP BY session_id
ORDER BY session_start DESC
LIMIT 50

2. Errored sessions. The session list can't filter or count errors — add HAVING errors > 0 to the query above and order by errors DESC.

3. Effective tool names within a session — the coalesce the typed tool-calls endpoint doesn't apply:

SELECT
    timestamp,
    coalesce(nullIf(toString(properties.$mcp_exec_tool_call_name), ''), toString(properties.$mcp_tool_name)) AS tool,
    toBool(properties.$mcp_is_error) AS is_error,
    toString(properties.$mcp_error_message) AS error_message,
    round(toFloat(properties.$mcp_duration_ms)) AS duration_ms
FROM events
WHERE event = '$mcp_tool_call'
    AND $session_id = '<session_id>'
ORDER BY timestamp ASC

4. Cross-session aggregation — "sessions per day", "sessions that used tool X and then failed", custom breakdowns. Recipes in models-mcp.md.

Note $session_id is a materialised events column — the same id as $mcp_session_id. Reference it bare, never as properties.$session_id: the properties. accessor renders null-wrapped in SELECT but as the raw column in HAVING/ORDER, so a HAVING search would mismatch the GROUP BY key.

Constructing UI links

  • Sessions list: https://app.posthog.com/project/<project_id>/mcp-analytics/sessions

Tips

  • A session with many calls but no errors that ends abruptly often means the agent gave up — check whether the last call returned a large or empty result
  • $mcp_intent is only present when the client supplied it; absence is common, so generate-intent is the more reliable goal signal
  • To go from a failing tool (see exploring-mcp-tool-quality) to the sessions that hit it, search the session list by tool name — remembering tools_used holds raw names, so search the registered name, not the inner one

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