HTTP based MCP server to get online services status via Downdector.
Providing data on the status of online services for agentic AI applications.
List of tools available in this MCP server
Important
Due to the recent change of Downdetector website, it is becoming increasingly defficult to recover data. Some data may be missing.
Used to retrieve the correct service name same as named in Downdetector (also name TechnicalServiceName in the MCP).
Tip
This must be called in first, for the AI get the correct name for use the GetServiceStatus tool and avoid error when retrieve data with wrong service name.
| param | description |
|---|---|
serviceName |
Service name to search |
country |
Alpha-2 country code for a search in the right country instanceof Downdetector website |
Tool calling with params :
serviceName:googlecountry:us
SearchWord: google
Results[4]{ServiceName,TechnicalName,Url,Category}:
Google,google,https://downdetector.com/status/google
Google Cloud,google-cloud,https://downdetector.com/status/google-cloud,search portals
Google Gemini,googlegemini,https://downdetector.com/status/googlegemini,ai platforms
Google Nest,google-nest,https://downdetector.com/status/google-nest,home automation security
Get data about the status of the online service. Like the most reported issues, the last number of report and the baseline.
| param | description |
|---|---|
technicalServiceName |
Technical service name to getting data |
country |
Alpha-2 country code for a search in the right country instanceof Downdetector website |
includeHistoricalReportData |
Boolean to retrieve chart points historic of the last 24 hours. By default false |
Tool calling with params :
technicalServiceName:googlegeminicountry:us
ServiceName: Google Gemini
Status: WARNING
MostReportedIssues[3]{Issue,Percentage}:
AI Generation,57
Website,24
App,20
ReportData[96]{Time,Report,Baseline}:
14:05 07/02/2026,8,2
15:05 07/02/2026,4,2
16:05 07/02/2026,3,1
...
LastReportData:
Time: 14:05 08/02/2026
Report: 25
Baseline: 5
docker run -d -p 8080:8080 --name downdetector-mcp benjaminfourmauxb/downdetector-mcp:latestdocker build -t downdetector-mcp .docker run -d -p 8080:8080 --name downdetector-mcp downdetector-mcpThe server will be available on http://localhost:8080.
- .NET 10 SDK
- PowerShell (required by Playwright CLI)
dotnet buildAfter building, install the Chromium browser used by Playwright :
pwsh DowdetectorMCP.Server/bin/Debug/net10.0/playwright.ps1 install chromiumNote
This command also installs the required OS-level dependencies for Chromium. You only need to run it once (or after a Playwright version update).
dotnet run --project DowdetectorMCP.ServerThe server starts on http://localhost:5057 by default.
On "Configure tools" page of GitHub Copilot, add a MCP server.
In the file mcp.json that configure custom MCP's in your VS Code env, enter the following settings:
{
"servers": {
"downdetector-mcp": {
"url": "http://localhost:5057/mcp",
"type": "http",
"trusted": true
}
},
"inputs": []
}Et voilΓ you can use this MCP server directly on your Copilot.
This app is build in C# .Net 10 and use the SDK ModelContextProtocol to implement the MCP protocol.
The Project DowndetectorMCP.API.csproj is used to query data from Downdetector websites.
The only easier way to get data from Downdetector is to simulate a web browser.
For that, DowndetectorMCP.API use Playwright a End-to-End testing framework diverted to browse DOM page via a Chronium Headless browser.
Downdetector use Cloudflare to protect their websites against robot or DDoS attack. Request multi times the website can cause rate limit error or blocked with the famous page "β Are you a Human".
To reduce the number of request sent to Donwdetector, a cache system is set for tool SearchServiceName. This cache save the couple <serviceName, country> => result.
The lifetime of a cache record is 24 Hours.
Is not viable to save all technicalServiceName, because there is not a finite number of services ("Tomorrow a new AI company can spawn..."). That's why there are a dedicated tool for search service.
All tools ouput use the Token Oriented Object Notation (Toon) format to represent data. This CSV-like format can reduce the number of input token (and inference input time) by remove redundant field names (like JSON).
Error messages are very verbose and human like error explication for indicate the the agent what somthing wrong append (Cloudflare rate limit reach, service not found...).
Contributions are appreciate !
Don't hesitate if you want to add a new feature.
Please also let me know if you use my MCP and in which project. I'd appreciate it.
