The TrustData MCP server lets any MCP-compatible AI agent (Claude Desktop, Claude Code, Cursor, Gemini CLI, ChatGPT) query your marketing data, review past experiments, create recommendations, and trigger GEO probes.
It's the same surface as the public REST API (/api/v1/), exposed over the Model Context Protocol. Your agent picks the right tool for each step; you don't write glue code.
26 tools across five families:
Bootstrap / discovery
list_properties, list_data_sources, list_attribution_ids, list_brand_prompts, list_competitors, list_analytics_queries: enumerate the UUIDs and metadata every other tool needs.Analytics primitives
query_metrics, get_timeline, get_attribution, get_geo, get_retention, get_ltv, list_change_events: the same numbers the dashboard shows, queryable by date range and dimension.AI Visibility (GEO) & SEO
get_geo_visibility, list_seo_keywords, list_citation_gaps, run_probe: see where your brand ranks in LLM answers, find publishers citing you without a link, probe prompts on demand.Recommendations & experiments
list_recommendations, create_recommendation, mark_recommendation_done, dismiss_recommendation, list_concluded_experiments: the agent proposes hypotheses, tracks outcomes, learns from prior winners.Alerts & anomalies
list_alerts, list_anomalies, acknowledge_alert, resolve_alert: triage queue for when something in paid / SEO / GEO goes sideways.run_probe is separately metered against your GEO add-on's monthly engine-call allowance.The MCP endpoint is included with every paid TrustData plan. The only per-call cost is run_probe, which consumes engine calls from your GEO add-on. Read-only tools (everything else) are flat-rate and rate-limited, not metered.
Issue a token and connect your agent in 2 minutes → Quickstart