OpenAI Ads MCP by InsightfulPipe
Server Details
Hosted OpenAI Ads MCP server for Claude, ChatGPT and Cursor, with each action switched 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/openai-ads-mcp-server
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 4 tools
The four tools have mostly distinct roles: query_contexts for planning/metadata, query_data for reads, execute_action for writes, and prompts_menu for prompt catalog access. The main risk is that execute_action and query_data share nearly identical workflow language and both are labeled as the final step, while query_contexts and query_data have similar names, but the descriptions still clarify read vs write vs planning.
All names use snake_case and three follow a clear verb_noun pattern: execute_action, query_contexts, query_data. prompts_menu is the minor deviation, using noun_noun rather than a verb like browse_prompts, but the set remains predictable overall.
Four tools is well-scoped for a specialized ads workflow: two planning/context helpers and two terminal read/write operations. Each tool has a clear role and the count avoids redundancy or fragmentation.
The surface covers the core lifecycle through query_contexts for metadata, query_data for reads, execute_action for available write actions, and prompts_menu for prompt discovery. Minor gaps exist around prompt management beyond browsing and lack of a dedicated action-listing tool, but available_actions in query_contexts mitigates this.
Available Tools
4 toolsexecute_actionOpenAI Ads Execute ActionADestructiveInspect
Execute OpenAI Ads action (Step 3 (FINAL) of workflow).
REQUIRED: Complete these steps first using query_contexts:
request='accounts' - Get workspace_id, brand_id, ad_account_id 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_contextsOpenAI Ads Setup HelperARead-onlyInspect
Helper for planning InsightfulPipe OpenAI Ads queries and write actions.
Step 1: request='accounts' – Retrieve workspace_id, brand_id, ad_account_id, other source metadata, AND available_actions (all tables/actions you can query or execute).
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_dataOpenAI Ads Data QueryARead-onlyInspect
Query OpenAI Ads data (Step 3 (FINAL) of workflow).
REQUIRED: Complete these steps first using query_contexts:
request='accounts' - Get workspace_id, brand_id, ad_account_id 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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