AyeWatch MCP
The AyeWatch MCP server allows AI agents to programmatically manage internet monitoring tasks. It enables agents to create, update, pause, and delete monitors for specific topics or web pages, as well as configure webhooks for alert delivery. This integration leverages the Model Context Protocol to let assistants interact with AyeWatch's monitoring infrastructure using Streamable HTTP and API key authentication.
Endpoint and access
OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.
https://ayewatch.ai/api/mcpWhat you can do with it
- Create a monitor to track changes on a specific URL
- List all active monitors with filtering options
- Pause or resume an existing topic monitor
- Configure webhook settings for alert delivery
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http ayewatch-mcp https://ayewatch.ai/api/mcpCodex
codex mcp add ayewatch-mcp --url https://ayewatch.ai/api/mcpCursor
{
"mcpServers": {
"ayewatch-mcp": {
"url": "https://ayewatch.ai/api/mcp"
}
}
}Cline
{
"mcpServers": {
"ayewatch-mcp": {
"type": "streamableHttp",
"url": "https://ayewatch.ai/api/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"ayewatch-mcp": {
"type": "http",
"url": "https://ayewatch.ai/api/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http ayewatch-mcp https://ayewatch.ai/api/mcpClaude Desktop
{
"mcpServers": {
"ayewatch-mcp": {
"url": "https://ayewatch.ai/api/mcp"
}
}
}Windsurf
{
"mcpServers": {
"ayewatch-mcp": {
"serverUrl": "https://ayewatch.ai/api/mcp"
}
}
}Other productivity and knowledge servers
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