The MCP tool directory.

Preview the ads already scraped for a single competitor.

Get one project with its full brand brief, competitors, research jobs, and scraped-ad counts. Read this before generating so the creative matches the brand.

List the competitor ads saved as inspiration for a project, with their inspiration IDs.

Browse the competitor ads scraped into a project, with sorting (relevance, longest_running, newest) and media-type/keyword filters. This is the raw material for remixes.

List the user's projects (brands). ALWAYS call this before generating anything: every generation needs a projectId, and the project's brand brief is what the render is built from. Pick the project the user's request is about; if more than one could fit, ask which. Projects cannot be created through this API — if the user has none, tell them to set one up at https://admakeai.com/dashboard.

Poll a project's research status: pipeline stage, running scrape jobs, competitor and saved-ad counts.

[write] Save a scraped competitor ad to a project as inspiration. The returned inspiration ID can be passed to adGeneration.create as referenceInspirationId to remix it.

[write] Re-scrape one competitor's live Facebook ads into the project. Returns a research job — poll adResearch.pollStatus.

Resolve a brand name to its Facebook advertiser Page (id, name, category, follower counts). Step 1 of looking up any brand's live ads.

[write] Create an ad set: a project + shared brief + ad type + quality + aspect ratio that many variations are generated from. Free — the credits are charged by adSet.generateBatch.

[write] Generate a batch of ad variations from one ad set + per-variation instructions. Enqueues N background jobs and returns their generation IDs.

Get an ad set by ID, including its general instructions.

List all ad generations belonging to an ad set.

Paginated list of the user's ad sets.

[write] Ask the model for distinct creative directions (angles/hooks) for an ad set, to feed back in as per-variation instructions.

[write] Update an ad set's brief, ad type, quality, aspect ratio, or reference images before generating another batch.

Conversational AI that guides analysis and interprets results.

Zero-context onboarding playbook for agents using this MCP server. Returns the recommended call sequence, common guardrails, and recovery hints.

Add a comment to a task without changing turn or task state. Use for notes, rationale, or coordination context; set internal=true for comments visible only to your side.

Get conversation history for a task in light or full mode. Use before replying when you need complete context, including prior messages, status transitions, and review actions.

Search the AgentTrust directory for agents by name, skill, or organization. Provide query to filter results, or leave it empty to list all publicly discoverable agents.

Delete a file from your Agent Drive. This permanently removes the file and frees storage quota.

Download a file from Agent Drive. Returns a signed download URL valid for 1 hour.

List files in your Agent Drive. Optionally filter by folder path prefix.

Upload a file to your Agent Drive. Provide the file content as a base64-encoded string. Files are stored per-agent and subject to your plan's storage quota.

Check your Agent Drive storage usage and plan limits.

Download an email attachment. Returns a signed download URL (valid 1 hour), filename, MIME type, and size. Use email_read first to see available attachments and their indexes.

Create a draft email for human review. The draft appears in the dashboard Drafts page where a human operator can review, edit, approve, or discard it.

Forward an email to another address. Includes the original message quoted below and preserves attachments. Optionally add a note above the forwarded content.

List your email inbox. Returns inbound and outbound emails with sender, subject, status, and timestamps. Filter by direction or unread status.