X Ads MCP by InsightfulPipe
Server Details
Hosted X 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/x-ads-mcp-server
- GitHub Stars
- 0
- Server Listing
- X Ads MCP Server
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 4 tools
execute_action and query_data are both labeled 'Step 3 (FINAL)' and share nearly identical required preambles, so an agent may struggle to choose between executing an action versus querying data. query_contexts also overlaps by listing available actions and action details, though its helper role is somewhat clearer.
Three tools follow a verb_noun snake_case pattern (execute_action, query_contexts, query_data). prompts_menu deviates as noun_noun, but the overall convention is still readable and mostly consistent.
Four tools is compact and each supports a phase of the workflow. The heavy multiplexing inside query_contexts makes the surface feel slightly thin, but the count fits the server's focused purpose.
The set covers context discovery, prompt browsing, execution, and data querying, which are the core phases of the stated workflow. No obvious dead end exists, though lifecycle operations depend entirely on execute_action's dynamic action catalog.
Available Tools
4 toolsexecute_actionX Ads Execute ActionADestructiveInspect
Execute X Ads action (Step 3 (FINAL) of workflow).
REQUIRED: Complete these steps first using query_contexts:
request='accounts' - Get workspace_id, brand_id, 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_contextsX Ads Setup HelperARead-onlyInspect
Helper for planning InsightfulPipe X Ads data queries.
Step 1: request='accounts' – Retrieve workspace_id, brand_id, account_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_dataX Ads Data QueryARead-onlyInspect
Query X Ads data (Step 3 (FINAL) of workflow).
REQUIRED: Complete these steps first using query_contexts:
request='accounts' - Get workspace_id, brand_id, 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.
Loading tool schema changelog…
Related MCP Connectors
Hosted OpenAI Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted X (Twitter) MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted YouTube MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted MySQL MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceMCP server that bridges ChatGPT Plus/Pro to Claude Code, enabling chat, deep research, and image generation via your own account.41 PyPI51MIT
- AlicenseAqualityDmaintenanceAn MCP server that lets AI agents read and manage Telegram Ads campaigns, including listing accounts and ads, reading stats and budgets, and creating/updating ads, CPM, status, and budget by driving the real ads.telegram.org web UI through Playwright with a reused cookie-based login session.111MIT
- AlicenseNot gradedqualityBmaintenanceA hosted MCP server that enables managing Google Ads, Microsoft Advertising, TikTok Ads, LinkedIn Ads, and other Google services from ChatGPT, Claude, or any MCP client using natural language, with no code or API keys required.MIT

@krovacloud/mcpofficial
AlicenseAqualityBmaintenanceMCP server for interacting with the Krova Cloud API, enabling AI assistants like Claude to manage cloud resources.37MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.