Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Automate Google Analytics 4 (GA4) reporting and property management through Composio's Google Analytics toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/google_analytics
RUBE_MANAGE_CONNECTIONS with toolkit google_analyticsRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit google_analyticsWhen to use: User wants to discover available GA4 accounts and properties
Tool sequence:
GOOGLE_ANALYTICS_LIST_ACCOUNTS - List all accessible GA4 accounts [Required]GOOGLE_ANALYTICS_LIST_PROPERTIES - List properties under an account [Required]Key parameters:
pageSize: Number of results per pagepageToken: Pagination token from previous responsefilter: Filter expression for properties (e.g., parent:accounts/12345)Pitfalls:
When to use: User wants to query metrics and dimensions from GA4 data
Tool sequence:
GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]GOOGLE_ANALYTICS_GET_METADATA - Discover available dimensions and metrics [Optional]GOOGLE_ANALYTICS_CHECK_COMPATIBILITY - Verify dimension/metric compatibility [Optional]GOOGLE_ANALYTICS_RUN_REPORT - Execute the report query [Required]Key parameters:
property: Property ID (e.g., 'properties/123456')dateRanges: Array of date range objects with startDate and endDatedimensions: Array of dimension objects with name fieldmetrics: Array of metric objects with name fielddimensionFilter / metricFilter: Filter expressionsorderBys: Sort order configurationlimit: Maximum rows to returnoffset: Row offset for paginationPitfalls:
offset is for result pagination, not date paginationWhen to use: User needs multiple different reports from the same property in one call
Tool sequence:
GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]GOOGLE_ANALYTICS_BATCH_RUN_REPORTS - Execute multiple reports at once [Required]Key parameters:
property: Property ID (required)requests: Array of individual report request objects (same structure as RUN_REPORT)Pitfalls:
When to use: User wants cross-tabulated data (rows vs columns) like pivot tables
Tool sequence:
GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]GOOGLE_ANALYTICS_RUN_PIVOT_REPORT - Execute pivot report [Required]Key parameters:
property: Property ID (required)dateRanges: Date range objectsdimensions: All dimensions used in any pivotmetrics: Metrics to aggregatepivots: Array of pivot definitions with fieldNames, limit, and orderBysPitfalls:
dimensionsfieldNames reference dimension names from the top-level listlimit and orderBysWhen to use: User wants to analyze conversion funnels and drop-off rates
Tool sequence:
GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]GOOGLE_ANALYTICS_RUN_FUNNEL_REPORT - Execute funnel analysis [Required]Key parameters:
property: Property ID (required)dateRanges: Date range objectsfunnel: Funnel definition with steps arrayfunnelBreakdown: Optional dimension to break down funnel byPitfalls:
When to use: User wants to view or manage conversion events (key events) in GA4
Tool sequence:
GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]GOOGLE_ANALYTICS_LIST_KEY_EVENTS - List all key events for the property [Required]Key parameters:
parent: Property resource name (e.g., 'properties/123456')pageSize: Number of results per pagepageToken: Pagination tokenPitfalls:
Account name -> Account ID:
1. Call GOOGLE_ANALYTICS_LIST_ACCOUNTS
2. Find account by displayName
3. Extract name field (e.g., 'accounts/12345')
Property name -> Property ID:
1. Call GOOGLE_ANALYTICS_LIST_PROPERTIES with filter
2. Find property by displayName
3. Extract name field (e.g., 'properties/123456')
1. Call GOOGLE_ANALYTICS_GET_METADATA with property ID
2. Browse available dimensions and metrics
3. Call GOOGLE_ANALYTICS_CHECK_COMPATIBILITY to verify combinations
4. Use verified dimensions/metrics in RUN_REPORT
offset and limit for row paginationpageToken from responsepageToken is absent or rowCount reachedDimensions: date, city, country, deviceCategory, sessionSource, sessionMedium, pagePath, pageTitle, eventName
Metrics: activeUsers, sessions, screenPageViews, eventCount, conversions, totalRevenue, bounceRate, averageSessionDuration
Property IDs:
Date Ranges:
Compatibility:
Response Parsing:
rows array with dimensionValues and metricValuesrows key (not an empty array)| Task | Tool Slug | Key Params |
|---|---|---|
| List accounts | GOOGLE_ANALYTICS_LIST_ACCOUNTS | pageSize, pageToken |
| List properties | GOOGLE_ANALYTICS_LIST_PROPERTIES | filter, pageSize |
| Get metadata | GOOGLE_ANALYTICS_GET_METADATA | property |
| Check compatibility | GOOGLE_ANALYTICS_CHECK_COMPATIBILITY | property, dimensions, metrics |
| Run report | GOOGLE_ANALYTICS_RUN_REPORT | property, dateRanges, dimensions, metrics |
| Batch reports | GOOGLE_ANALYTICS_BATCH_RUN_REPORTS | property, requests |
| Pivot report | GOOGLE_ANALYTICS_RUN_PIVOT_REPORT | property, dateRanges, pivots |
| Funnel report | GOOGLE_ANALYTICS_RUN_FUNNEL_REPORT | property, dateRanges, funnel |
| List key events | GOOGLE_ANALYTICS_LIST_KEY_EVENTS | parent, pageSize |
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概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。