MCP Status Observer
Monitor and query real-time operational status of digital platforms using Model Context Protocol.
Key Features
Use Cases
README
MCP Status Observer
[!IMPORTANT] This project is continuously updated with new platform integrations. If you're not seeing a service that should be available, or if Claude doesn't recognize a platform, please update by running
npm run buildfrom a freshly cloned repository.Last updated: 2025-09-12T07:22:15Z (UTC) - Added OpenRouter status integration with RSS incident tracking
Features
- Monitor world's most used digital platforms (GitHub, Slack, Discord, etc.)
- Track AI providers including OpenRouter, OpenAI, Anthropic, and Gemini
- Get detailed status information for specific services with incident history
- Check status of specific components within each platform
- Real-time updates of service status with impact analysis
- Comprehensive incident tracking with resolution status and timelines
- Simple query interface with commands like
status --openrouter
Demo
Click on any timestamp to jump to that section of the video
00:00 - LinkedIn Platform Status Assessment
Comprehensive analysis of LinkedIn's operational health, including detailed examination of core services such as LinkedIn.com, LinkedIn Learning, Campaign Manager, Sales Navigator, Recruiter, and Talent solutions. All systems confirmed fully operational with zero service disruptions.
00:20 - GitHub Infrastructure Status Overview
Detailed evaluation of GitHub's service availability, covering critical components including Git operations, API requests, Actions, Webhooks, Issues, Pull Requests, Packages, Pages, Codespaces, and Copilot functionality. Complete operational status confirmed across all GitHub services.
00:40 - Vercel Platform Reliability Analysis
In-depth examination of Vercel's global edge network and deployment infrastructure, featuring comprehensive status reporting on core services such as API, Dashboard, Builds, Serverless Functions, Edge Functions, and global CDN locations. All Vercel services verified operational across all regions.
01:08 - Cloudflare Network Status Examination
Extensive analysis of Cloudflare's global infrastructure status, detailing service availability across geographic regions and specific service components. Identified performance degradation in multiple regions (Africa, Asia, Europe, Latin America, Middle East, North America) while core services remain functional. Includes detailed assessment of regional data centers under maintenance and technical impact analysis.
01:46 - Global Operational Status Report
Consolidated overview of operational status across all major technology platforms and service providers, highlighting both fully operational services (GitHub, Vercel, Netlify, Asana, Atlassian, OpenRouter, etc.) and services experiencing degraded performance (Cloudflare, Twilio). Includes strategic recommendations for organizations with dependencies on affected services.
Requirements
- Node.js 16 or higher
- Claude Desktop
- Internet connection to access status APIs
Installation
Installing Manually
- Clone or download this repository:
git clone https://github.com/imprvhub/mcp-status-observer
cd mcp-status-observer
- Install dependencies:
npm install
- Build the project:
npm run build
Running the MCP Server
There are two ways to run the MCP server:
Option 1: Running manually
- Open a terminal or command prompt
- Navigate to the project directory
- Run the server directly:
node build/index.js
Keep this terminal window open while using Claude Desktop. The server will run until you close the terminal.
Option 2: Auto-starting with Claude Desktop (recommended for regular use)
The Claude Desktop can automatically start the MCP server when needed. To set this up:
Configuration
The Claude Desktop configuration file is located at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
Edit this file to add the Status Observer MCP configuration. If the file doesn't exist, create it:
{
"mcpServers": {
"statusObserver": {
"command": "node",
"args": ["ABSOLUTE_PATH_TO_DIRECTORY/mcp-status-observer/build/index.js"]
}
}
}
Important: Replace ABSOLUTE_PATH_TO_DIRECTORY with the complete absolute path where you installed the MCP
- macOS/Linux example:
/Users/username/mcp-status-observer - Windows example:
C:\\Users\\username\\mcp-status-observer
If you already have other MCPs configured, simply add the "statusObserver" section inside the "mcpServers" object. Here's an example of a configuration with multiple MCPs:
{
"mcpServers": {
"otherMcp1": {
"command": "...",
"args": ["..."]
},
"otherMcp2": {
"command": "...",
"args": ["..."]
},
"statusObserver": {
"command": "node",
"args": [
"ABSOLUTE_PATH_TO_DIRECTORY/mcp-status-observer/build/index.js"
]
}
}
}
The MCP server will automatically start when Claude Desktop needs it, based on the configuration in your claude_desktop_config.json file.
Usage
- Restart Claude Desktop after modifying the configuration
- In Claude, use the
statuscommand to interact with the Status Observer MCP Server - The MCP server runs as a subprocess managed by Claude Desktop
Available Commands
The Status Observer MCP provides a single tool named status with several commands:
| Command | Description | Parameters | Example |
|---|---|---|---|
list |
List all available platforms | None | status list |
--[platform] |
Get status for a specific platform | Platform name | status --openrouter |
--all |
Get status for all platforms | None | status --all |
Supported Platforms
The Status Observer monitors 22 major digital platforms across various categories:
AI & Machine Learning (4)
- OpenRouter - AI model routing and access platform
- OpenAI - Leading AI services provider (ChatGPT, DALL-E, API)
- Anthropic - AI assistant provider (Claude)
- Gemini - Google's multimodal AI platform
Cloud Infrastructure (4)
- Google Cloud Platform - Comprehensive cloud computing services
- DigitalOcean - Developer-focused cloud infrastructure
- Vercel - Frontend deployment and edge platform
- Netlify - Web development and deployment platform
Developer Tools & Platforms (5)
- Docker - Container platform and services
- GitHub - Version control and collaboration platform
- npm - JavaScript package manager and registry
- Atlassian - Developer collaboration tools (Jira, Bitbucket, Confluence)
- Supabase - Open source backend platform (PostgreSQL, auth, storage)
Productivity & Collaboration (5)
- LinkedIn - Professional networking platform
- Slack - Business communication and collaboration
- Asana - Team workflow and project management
- Dropbox - Cloud file storage and collaboration
- X (Twitter) - Social media and real-time communication
Web Infrastructure & Security (3)
- Cloudflare - Web infrastructure, CDN, and security
- Discord - Developer community and communication platform
- Reddit - Social news and developer community platform
Analytics & Business Tools (1)
- Amplitude - Product analytics platform
Example Usage
Here are various examples of how to use the Status Observer with Claude:
Direct Commands:
# AI Platforms
status --openrouter
status --openai
status --anthropic
status --gemini
# Cloud Infrastructure
status --gcp
status --vercel
status --digitalocean
status --netlify
# Developer Tools
status --docker
status --github
status --atlassian
status --supabase
status --npm
# Productivity & Social
status --linkedin
status --slack
status --x
status --dropbox
# Web Infrastructure
status --cloudflare
status --discord
# All platforms
status --all
status list
Preview
Natural Language Prompts:
You can also interact with the MCP using natural language. Claude will interpret these requests and use the appropriate commands:
- "Could you check if OpenRouter is having any API issues right now?"
- "What's the status of OpenAI's ChatGPT service?"
- "Has there been any recent incidents with Claude or the Anthropic API?"
- "Is Google Cloud Platform experiencing any outages in my region?"
- "Check if Docker Hub is operational for automated builds"
- "What's the current status of LinkedIn's Sales Navigator?"
- "Can you tell me if Google's Gemini AI is experiencing any service disruptions?"
- "Show me the status of all AI platforms including OpenRouter and OpenAI"
- "Are there any active incidents affecting GitHub Actions or Git operations?"
- "Check the overall health of Vercel and Netlify for my deployment pipeline"
- "Has Supabase had any recent database or authentication issues?"
- "What's the status of all major platforms right now?"
Troubleshooting
"Server disconnected" error
If you see the error "MCP Status Observer: Server disconnected" in Claude Desktop:
-
Verify the server is running:
- Open a terminal and manually run
node build/index.jsfrom the project directory - If the server starts successfully, use Claude while keeping this terminal open
- Open a terminal and manually run
-
Check your configuration:
- Ensure the absolute path in
claude_desktop_config.jsonis correct for your system - Double-check that you've used double backslashes (
\\) for Windows paths - Verify you're using the complete path from the root of your filesystem
- Ensure the absolute path in
Tools not appearing in Claude
If the Status Observer tools don't appear in Claude:
- Make sure you've restarted Claude Desktop after configuration
- Check the Claude Desktop logs for any MCP communication errors
- Ensure the MCP server process is running (run it manually to confirm)
- Verify that the MCP server is correctly registered in the Claude Desktop MCP registry
Checking if the server is running
To check if the server is running:
- Windows: Open Task Manager, go to the "Details" tab, and look for "node.exe"
- macOS/Linux: Open Terminal and run
ps aux | grep node
If you don't see the server running, start it manually or use the auto-start method.
Contributing
Adding New Status APIs
Contributors can easily add support for additional platforms by modifying the initializePlatforms method in src/index.ts. The process is straightforward:
- Identify a platform's status API endpoint
- Add a new entry using the
addPlatformmethod with the following parameters:id: A unique identifier for the platform (lowercase, no spaces)name: The display name of the platformurl: The status API endpoint URLdescription: A brief description of the platform
Example:
this.addPlatform('newservice', 'New Service', 'https://status.newservice.com/api/v2/summary.json', 'Description of the service');
Custom API Integration
For platforms with non-standard status pages (like OpenRouter, OpenAI, Anthropic), you can create custom handlers:
- Add the platform to
initializePlatforms() - Create a TypeScript interface for the response format
- Add a specific handler method like
getOpenRouterStatus() - Update the main
getPlatformStatus()method to route to your handler - Add quick status support in
getQuickPlatformStatus()
Example structure for custom handlers:
private async getCustomPlatformStatus(platform: PlatformStatus): Promise<string> {
// Custom parsing logic for your platform
// Return formatted status text
}
Platform Categories
When adding new platforms, consider organizing them into logical categories:
- AI/ML: OpenRouter, OpenAI, Anthropic, Gemini
- Cloud Infrastructure: GCP, AWS, Azure, DigitalOcean
- Developer Tools: GitHub, GitLab, Docker, npm
- Productivity: Slack, Microsoft 365, Google Workspace
- Web Infrastructure: Cloudflare, Fastly, Akamai
License
This project is licensed under the Mozilla Public License 2.0 - see the LICENSE file for details.
Related Links
Changelog
- 2025-09-12: Added OpenRouter integration with RSS incident tracking and detailed impact analysis
- 2025-04-26: Added Docker status integration with comprehensive component monitoring
- 2025-03-15: Enhanced GCP regional status reporting with incident correlation
- 2025-02-28: Added Anthropic and Gemini AI platform monitoring
- 2025-01-20: Initial release with core platform support (GitHub, Vercel, Cloudflare, etc.)
Built for the developer community by imprvhub
Star History
Repository Owner
User
Repository Details
Programming Languages
Topics
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
Baseline MCP Server
Brings web platform API support status to AI models via Model Context Protocol.
Baseline MCP Server serves as a Model Context Protocol (MCP) server, providing API endpoints to retrieve the baseline support status of web platform features. It fetches data from the Web Platform Dashboard API and delivers web API compatibility details, including browser support levels, baseline status, and usage data, to MCP clients or AI models. The server is configurable for various MCP clients including Claude Desktop and Visual Studio Code, and can also be deployed via Docker or Deno environments. It enables integration of up-to-date, machine-readable browser compatibility information with large language models and development tools.
- ⭐ 36
- MCP
- yamanoku/baseline-mcp-server
Dappier MCP Server
Real-time web search and premium data access for AI agents via Model Context Protocol.
Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.
- ⭐ 35
- MCP
- DappierAI/dappier-mcp
MCP Domain Availability Checker
Seamless domain availability checking across 50+ TLDs for Claude Desktop via MCP integration.
MCP Domain Availability Checker provides robust domain name availability searching across more than 50 popular TLDs, leveraging both DNS and WHOIS for accurate verification. It offers natural language queries, smart TLD suggestions, and bulk checking capabilities, optimized for integration with Claude Desktop through the Model Context Protocol. The tool enables real-time status updates, fast parallel processing, and organizes results by TLD categories to streamline domain discovery workflows.
- ⭐ 22
- MCP
- imprvhub/mcp-domain-availability
ScreenMonitorMCP v2
Real-time screen monitoring and visual analysis for AI assistants via MCP.
ScreenMonitorMCP v2 is a Model Context Protocol (MCP) server enabling AI assistants to capture, analyze, and interact with screen content in real time. It supports instant screenshots, live streaming, advanced vision-based analysis, and provides performance monitoring across Windows, macOS, and Linux. Integration with clients like Claude Desktop is streamlined, offering easy configuration and broad compatibility. The tool leverages AI vision models to provide intelligent insights into screen content and system health.
- ⭐ 64
- MCP
- inkbytefo/ScreenMonitorMCP
Exa MCP Server
Fast, efficient web and code context for AI coding assistants.
Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.
- ⭐ 3,224
- MCP
- exa-labs/exa-mcp-server
ZoomEye MCP Server
Real-time cyberspace asset intelligence for AI assistants via Model Context Protocol.
ZoomEye MCP Server implements the Model Context Protocol (MCP) to provide network asset intelligence to AI assistants and development tools. It enables querying of global internet assets through ZoomEye's cyber asset search engine using structured parameters and dorks. The server includes features like caching, error handling, and compatibility with leading MCP environments, supporting real-time cyber asset data integration for various AI and developer platforms.
- ⭐ 50
- MCP
- zoomeye-ai/mcp_zoomeye
Didn't find tool you were looking for?