MCP server for tracking brand visibility in LLMs (ChatGPT, Claude, Gemini, Perplexity) using DataForSEO API
MCP server for tracking brand visibility in LLMs (ChatGPT, Claude, Gemini, Perplexity) using DataForSEO API. That is what the dataforseo mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 9 tools. What each one is for:
chatgpt_live — ChatGPT (gpt-4o-mini, gpt-4o, gpt-4-turbo)claude_live — Claude (claude-3-5-haiku, claude-3-5-sonnet)gemini_live — Gemini (gemini-1.5-flash, gemini-1.5-pro)perplexity_live — Perplexity (sonar, sonar-pro)search_mentions — Find brand mentions across all LLMstop_domains — Competitor analysis by domaintop_pages — Top-performing pages in LLM responsesaggregated_metrics — Historical tracking over timecross_aggregated_metrics — Compare multiple domains side-by-sideSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Configuration is passed through the environment: DATAFORSEO_LOGIN, DATAFORSEO_PASSWORD. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Dataforseo's toolset — chatgpt_live, claude_live, gemini_live and 6 more — is a fair guide to whether it matches your workflow.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| chatgpt_live | ChatGPT (gpt-4o-mini, gpt-4o, gpt-4-turbo) |
| claude_live | Claude (claude-3-5-haiku, claude-3-5-sonnet) |
| gemini_live | Gemini (gemini-1.5-flash, gemini-1.5-pro) |
| perplexity_live | Perplexity (sonar, sonar-pro) |
| search_mentions | Find brand mentions across all LLMs |
| top_domains | Competitor analysis by domain |
| top_pages | Top-performing pages in LLM responses |
| aggregated_metrics | Historical tracking over time |
| cross_aggregated_metrics | Compare multiple domains side-by-side |
| Variable | Description | Required |
|---|---|---|
| DATAFORSEO_LOGIN | Configuration value read at startup. | Optional |
| DATAFORSEO_PASSWORD | Configuration value read at startup. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.