Browse
→ Web & Browser
→ PromptEye MCP
PromptEye MCP
TypeScript MCP server for PromptEye brand-visibility analytics. It connects assistants to PromptEye projects, knowledge-base records, prompt suggestions, tracked prompt context, competitor visibility, answer/source views, and citation-quality reporting, with API-backed tools where live endpoints exist and explicit fixture fallbacks for not-yet-live metrics. Public GitHub repository created September 16, 2026.
MCP unverified
Integration
| Transport | stdio |
| Auth | api-key |
| Endpoint | npx -y prompteye-mcp |
| Install | npm install -g prompteye-mcp |
Use Cases
| 01 | Ask an assistant which projects, prompts, competitors, answers, and sources are driving PromptEye visibility reports |
| 02 | Expose AI-search brand monitoring context to Claude Desktop, Cursor, or other MCP clients through local stdio |
| 03 | Audit which PromptEye tool responses came from live API endpoints versus clearly labeled sample fallback data |
Tags
brand-visibility ai-search prompt-tracking competitors citations analytics typescript stdio
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>