Google Search Console MCP by InsightfulPipe
Server Details
Hosted Google Search Console MCP server, with each action switched on or off per account.
- 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/google-search-console-mcp-server
- GitHub Stars
- 0
- Server Listing
- Google Search Console MCP Server
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 4 tools
query_data and execute_action both serve as the final workflow step and share almost identical prerequisite instructions, so an agent could confuse querying data with executing an action. prompts_menu and query_contexts are more distinct, but the two final-step tools have overlapping framing.
execute_action, query_contexts, and query_data follow a readable verb_noun pattern, but prompts_menu breaks that convention with a noun-style name. The set is still interpretable, but the mix is not fully consistent.
Four tools is well-scoped for a workflow-based GSC server: one for context discovery, one for prompts, one for data queries, and one for action execution. Each tool has a clear workflow role rather than feeling redundant.
Generic query_data and execute_action tools, backed by query_contexts discovery, can cover most GSC data and action needs. The main gap is that prompts_menu only lists and retrieves prompts, with no create/update/delete operations for custom prompts.
Available Tools
4 toolsexecute_actionGSC Execute ActionADestructiveInspect
Execute GSC action (Step 3 (FINAL) of workflow).
REQUIRED: Complete these steps first using query_contexts:
request='accounts' - Get workspace_id, brand_id, site_url AND available_actions
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
query_contextsGSC Setup HelperARead-onlyInspect
Helper for planning InsightfulPipe Google Search Console data queries.
Step 1: request='accounts' – Retrieve workspace_id, brand_id, site_url, 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_dataGSC Data QueryARead-onlyInspect
Query GSC data (Step 3 (FINAL) of workflow).
REQUIRED: Complete these steps first using query_contexts:
request='accounts' - Get workspace_id, brand_id, site_url AND available_actions
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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