X Ads MCP Server
Related Servers
Alternatives to X Ads MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables AI apps to create and edit campaigns, ad groups, and ads, upload videos and images, and read spend and performance metrics, while saving every change as a draft for approval before publishing.5MIT
- AlicenseAqualityBmaintenanceEnables AI apps to create and edit Reddit campaigns, ad groups and ads, upload creative media, and read spend, click and conversion reports. All changes are saved as drafts and only go live after the user approves them.5MIT
- AlicenseNot gradedqualityCmaintenanceConnects X Ads (Twitter Ads) to AI assistants, enabling reporting on and creation of campaigns, line items, promoted-only posts, and cards. New campaigns start paused, and delete actions remain off by default.MIT
- AlicenseAqualityBmaintenanceEnables AI apps such as Claude, ChatGPT, Cursor and Codex to create and edit campaigns, ad groups and ads, look up targeting values, upload images and videos, and read spend, lead and engagement reports from a connected ad account. Every change is saved as a draft that only goes live once the user approves it.5MIT
- AlicenseAqualityBmaintenanceEnables AI apps to connect to Pinterest Ads accounts, read campaigns, ad groups, ads and analytics through the Pinterest API, and save campaign changes as drafts for approval before publishing.5MIT
- AlicenseAqualityBmaintenanceEnables AI apps to create and edit Search, Display, Demand Gen, and Performance Max campaigns; manage keywords, negative keywords, search terms, conversions, and reporting; and save every change as a draft for approval before it goes live.5MIT
TDQS
Scored across 5 tools
Each tool targets a distinct informational need (install steps, hosted capabilities, platform catalog, sample prompts, FAQ), and several descriptions explicitly redirect to the right sibling (e.g. get_setup_guide points to list_hosted_tools). The only mild overlap is between get_setup_guide and get_faq, since the FAQ also covers supported AI apps and API keys, which could tempt an agent to pick the wrong one.
All five tools use a clean snake_case verb_noun pattern (get_* / list_*) with predictable semantics: get_ for a single document, list_ for enumerations. No stylistic deviations or mixed casing.
Five tools is well-scoped for a thin onboarding/discovery surface, and each maps to a separable user question (install, capabilities, platforms, prompts, FAQ) with no filler. Nothing feels padded or conspicuously missing at the count level.
For its stated purpose — explaining and onboarding to a hosted server — the surface covers install, capability discovery, platform alternatives, first prompts, and common objections. Minor gaps exist (no dedicated tool for supported-AI-app lineup or pricing, both buried inside get_faq, and no way to verify a connection succeeded), but agents can work around them.