You're marketing a product in 2025, which means half your potential customers are AI models that might recommend you to human users. This server probes GPT-4o, Claude, Gemini, and Perplexity with queries to see how often they mention your brand, where you rank against competitors, and whether the context is positive. It exposes four tools: generate a full Share of Model report, get raw probe data across models, run head-to-head competitor comparisons, or calculate pure metrics from existing probes. You bring your own API keys and only pay for the LLM calls you make. Built by the ScrappyCMO team, who use it to track their own visibility in model responses.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent