Anomaly Finder Client MCP Config
The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can
Config URL
Use this URL in any MCP-compatible client to fetch the config automatically.
https://mcpbridge.org/config/azure-com-cognitiveservices-anomalyfinder.jsonOne-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"azure-com-cognitiveservices-anomalyfinder": {
"command": "npx",
"args": [
"-y",
"@mcp/azure-com-cognitiveservices-anomalyfinder"
],
"env": {
"ANOMALY_FINDER_CLIENT_API_KEY": "your_anomaly_finder_client_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"azure-com-cognitiveservices-anomalyfinder": {
"url": "https://mcpbridge.org/config/azure-com-cognitiveservices-anomalyfinder.json"
}
}
}VS Code
Use with MCP extension
{
"mcpServers": {
"azure-com-cognitiveservices-anomalyfinder": {
"url": "https://mcpbridge.org/config/azure-com-cognitiveservices-anomalyfinder.json"
}
}
}Configuration JSON
Use curl https://mcpbridge.org/config/azure-com-cognitiveservices-anomalyfinder.json to fetch programmatically.
{
"mcpServers": {
"azure-com-cognitiveservices-anomalyfinder": {
"command": "npx",
"args": ["-y","@mcp/azure-com-cognitiveservices-anomalyfinder"],
"env": {
"ANOMALY_FINDER_CLIENT_API_KEY": "your_anomaly_finder_client_api_key"
}
}
}
}How to Use
Cursor
Go to Cursor Settings → MCP Servers → Add with the JSON above.
CLI / curl
Fetch the config programmatically:
curl https://mcpbridge.org/config/azure-com-cognitiveservices-anomalyfinder.jsonEnvironment Variables
ANOMALY_FINDER_CLIENT_API_KEYReplace your_anomaly_finder_client_api_key with your actual anomaly finder client api key
Endpoints
/timeseries/entire/detectFind anomalies for the entire series in batch.
/timeseries/last/detectDetect anomaly status of the latest point in time series.
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