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Microsoft Clarity MCP by InsightfulPipe

Server Details

Hosted Microsoft Clarity MCP server, with each action switched on or off per account.

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
Insightful-Pipe/microsoft-clarity-mcp-server
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A3.7/5.0

Scored across 4 tools

Disambiguation2/5

execute_action and query_data are hard to distinguish: both are labeled 'Step 3 (FINAL)', require identical query_contexts prerequisites, and use nearly identical wording. prompts_menu and query_contexts are more distinct, but the core boundary between executing an action and querying data is unclear.

Naming Consistency4/5

All names use snake_case consistently, which is good. However, prompts_menu breaks the verb_noun pattern followed by execute_action, query_contexts, and query_data, making it a minor deviation.

Tool Count4/5

Four tools is a reasonable, focused set for an analytics integration, and each tool has a role in the workflow. The count is slightly thin but not problematic.

Completeness3/5

The surface covers querying data, executing actions, prompt browsing, and context discovery, but relies heavily on meta-parameters rather than explicit tools. There are notable gaps around direct account/action discovery and management operations.

Available Tools

4 tools
execute_actionMicrosoft Clarity Execute ActionA
Destructive
Inspect

Execute Microsoft Clarity action (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id AND available_actions

  2. request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] - Get detailed body structure for specific action(s) using actions from available_actions

IMPORTANT: Always call step 2 to see the exact body structure before executing.

Rely on info from steps 1-2 to construct the action body. Follow the schema exactly.

Inputs: body (required). Returns: object

prompts_menuMicrosoft Clarity PromptsA
Read-only
Inspect

Browse the Microsoft Clarity prompt catalog.

  1. request='menu' – List public/system prompts (optionally pass workspace_id + prompt_type).

  2. request='prompt_details' – Fetch prompt body by prompt_id. Set is_custom=True + workspace_id for workspace prompts.

Inputs: request (required), is_custom, prompt_id, prompt_type, +1 more. Returns: object

query_contextsMicrosoft Clarity Setup HelperA
Read-only
Inspect

Helper for planning InsightfulPipe Microsoft Clarity data queries.

Step 1: request='accounts' – Retrieve workspace_id, brand_id, other source metadata, AND available_actions (all tables you can query).

Step 2: request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] – REQUIRED before querying. Replace with actions from available_actions to get the exact request body, required identifiers, fields, time ranges, and notes for each action.

Optional: request='available_actions' – Standalone call to list all available tables/actions (already included in accounts response).

Optional: request='brands' with brand_id + workspace_id to pull brand guidelines.

Inputs: request (required), actions, brand_id, platform, +1 more. Returns: object

query_dataMicrosoft Clarity Data QueryA
Read-only
Inspect

Query Microsoft Clarity data (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id AND available_actions

  2. request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] - Get detailed body structure for specific action(s) using actions from available_actions

IMPORTANT: Always call step 2 to see the exact body structure before querying.

Rely on info from steps 1-2 to construct the query body. Follow the schema exactly.

Inputs: body (required). Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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