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Exploring MCP Sessions

PostHogOfficialPublished by PostHog

  • Skill
  • Tool integration
  • Data and AI
  • MIT
  • No issues found

From the author

Investigate individual PostHog MCP sessions — the sequence of tool calls a single agent made in one run, what it was trying to do, and where it went wrong. Use when the user asks "what did this MCP session do?", "show me the tool calls for session X", "what was the agent's goal?", "which sessions had errors?", "who is connecting to my MCP?", or pastes an MCP analytics sessions URL.
— the description by PostHog

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to auditing individual MCP agent sessions within PostHog. It enables users to reconstruct the sequence of tool calls, identify the agent's intent, and troubleshoot failures. By leveraging both dedicated MCP analytics tools and custom SQL queries, users can drill down into specific session data, ensuring they can effectively monitor agent behavior and diagnose performance issues.

What it does

  • Lists recent MCP sessions with metadata like duration and tool usage.
  • Retrieves chronological tool call sequences for specific sessions.
  • Generates natural language summaries of an agent's goal for a given session.
  • Allows for SQL-based filtering to identify sessions containing errors.
  • Provides guidance on handling date-window lookbacks to ensure data visibility.
  • Supports cross-session analysis for identifying patterns in agent behavior.

When to use it

  • When you need to investigate why a specific agent run failed.
  • When you want to understand the sequence of actions an agent took to reach a goal.
  • When you need to identify which sessions resulted in errors.
  • When you are asked to explain what a particular MCP session accomplished.
  • When you need to perform custom analysis on MCP event data that standard tools do not support.

Advantages

  • Uses the same data source as the PostHog sessions UI for consistent results.
  • Provides both high-level intent summarization and low-level tool call debugging.
  • Offers SQL fallback for advanced filtering and cross-session aggregation.
  • Helps identify agent 'give-up' patterns by analyzing session termination.

Usage examples

“What did the MCP session with ID 12345 do?”
The agent will list the chronological tool calls for that session and generate a summary of the agent's intent.
“Which MCP sessions had errors in the last 24 hours?”
The agent will execute a SQL query to filter for sessions containing error flags and return the list of affected session IDs.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/posthog/exploring-mcp-sessions/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip exploring-mcp-sessions.zip -d .agents/skills

Documentation by PostHog

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.

  • 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

  • exploring-mcp-tool-usage — the front door: routes a broad "how is my MCP doing?" question to the right tool

  • exploring-mcp-tool-quality — error rates and latency across all tools

  • exploring-mcp-intent-clusters — group goals across many sessions

Files

LICENSE

MIT License

Copyright (c) 2025

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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SOFTWARE.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

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Attribution and licence

Published by
PostHog
Publisher
PostHog (Official)
Source
PostHog/skills · skills/omnibus/exploring-mcp-sessions · commit a5d30e7
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download exploring-mcp-sessions.zip