Adyntel MCP
Give AI agents live access to any company's paid-ad footprint via Adyntel over MCP.
Through a Model Context Protocol connection, we let autonomous agents query Adyntel directly — handing them a domain and getting back a company's live ads across LinkedIn, Meta, Google, and TikTok as structured JSON. Agents can check whether a company advertises, pull every active creative, and reason over the messaging without a human running the lookups. This turns ad intelligence into a tool an agent can call mid-task inside enrichment, research, and monitoring workflows.
Agents pass a company domain, Facebook page, or LinkedIn page ID and get the matching advertiser's live ad presence per platform.
Retrieve every active ad for a company — copy, creative assets, CTAs, and destination URLs — as structured JSON.
Determine whether a company is currently advertising on LinkedIn, Meta, Google, or TikTok and how many ads are live.
Run Adyntel across a list of accounts so an agent can score and segment a whole book by ad activity in one pass.
A scheduled agent queries a defined rival set through Adyntel, diffs each run against the last, and writes a briefing whenever new creatives, offers, or landing pages appear — pushing alerts to the team.
As new accounts land, an agent calls Adyntel to flag paid-active companies and their platforms, then updates the CRM and routes each account to the right sales or media motion.
During campaign planning, an agent pulls the live-ad landscape for a category, clusters the messaging angles, and hands strategists a summary of what's in-market and where the gaps are.
Resolve an advertiser from a domain, check which platforms they're live on, and pull their active creatives with copy, assets, CTAs, and links — all as structured data the agent can reason over or write onward to a CRM or warehouse.
We scope the connection to read-only ad-intelligence lookups, cap batch sizes, and log every call, so an agent enriches and monitors within guardrails while consuming Adyntel credits predictably.
Yes. We run agents on a cron cadence that re-queries a target set through Adyntel, diffs against prior snapshots, and only surfaces genuinely new ad activity — so the team gets signal, not noise.
