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Connect Claude to Meta Ads for querying, analysis, and campaign optimization.
The available materials are very limited: no keys or remote endpoints are declared, and the project is open-source under MIT, which lowers overall risk. However, as an executable self-hosted Meta Ads connector, its network scope, authentication model, and data access boundaries are underdocumented, so it is better rated as caution rather than high risk.
The materials explicitly state that no keys or environment variables are required, and there is no stated need for user-provided tokens, API keys, or local sensitive credentials. However, due to the missing README, the actual authentication model is not fully documented.
No remote endpoints are declared in the metadata, but the stated function is a 'Meta Ads (Facebook/Instagram) connector,' which by purpose typically implies outbound network activity. The specific domains, data flows, and whether prompts or ad account data are transmitted are not documented.
The system checks confirm executes-code capability, meaning it runs an MCP service or related code locally. This is a normal property for such tools and not high risk by itself, but it should be run with least privilege.
The materials do not specify which local files, directories, or system resources it can read or write, nor what Meta advertising data may be exposed to the model. The data access boundary is underdocumented and should be treated conservatively.
Positive factors include being open source, auditable, and MIT-licensed. However, it comes from a third-party registry, has 0 stars, and an unknown maintenance status, so trust is acceptable but not strong enough for a low-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "claude-meta-mcp" yet — see the docs or source repo.
Read my Meta Ads data from the last 30 days, summarize impressions, clicks, spend, conversions, and ROAS by campaign, and identify the 3 worst-performing campaigns with possible reasons.
A performance summary by campaign with the weakest performers and likely causes.
Based on the last 14 days of Facebook and Instagram ad set data, find audiences with the lowest CPA and stable conversions, then recommend budget adjustments for next week.
A prioritized audience list with actionable budget allocation recommendations.
Compile this week’s Meta Ads results, compare changes in spend, CTR, conversion rate, and ROAS versus last week, and generate an English weekly report for the marketing team.
A clear weekly campaign report with metric changes, conclusions, and next-step recommendations.
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