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OpenAI Ads MCP by InsightfulPipe

Server Details

Hosted OpenAI Ads MCP server for Claude, ChatGPT and Cursor, with each action switched 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/openai-ads-mcp-server
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 4 tools

Disambiguation4/5

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.

Naming Consistency4/5

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.

Tool Count5/5

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.

Completeness4/5

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 tools
execute_actionOpenAI Ads Execute ActionA
Destructive
Inspect

Execute OpenAI Ads action (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id, ad_account_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_menuOpenAI Ads PromptsA
Read-only
Inspect

Browse the OpenAI Ads 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_contextsOpenAI Ads Setup HelperA
Read-only
Inspect

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 QueryA
Read-only
Inspect

Query OpenAI Ads data (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id, ad_account_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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