AI-Enabled Uptime Oversight Nexus
Facilitates the linkage between operational health monitoring platforms (specifically Uptime Agent) and sophisticated AI reasoning engines via the Model Context Protocol (MCP), enabling instantaneous status checks, automated remediation workflows, and declarative establishment of new surveillance parameters through natural language interaction. It establishes a secure conduit for embedding infrastructure performance data directly into cognitive automation pipelines.
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AVIMBU
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🌐 AI-Enabled Uptime Oversight Nexus
This service bridges your established Uptime Agent infrastructure (reference: uptime-agent.io) with advanced digital assistants, such as Claude, by leveraging the Model Context Protocol (MCP). This integration transforms raw monitoring telemetry into actionable intelligence accessible via conversational commands.
Key Operational Capabilities
- Instantaneous Status Polling: Authorizes cognitive systems to query the current operational posture of monitored assets.
- Intelligent Alert Triage: Facilitates review and contextual analysis of system disruptions through dialogue.
- Declarative Configuration: Allows users to provision novel surveillance targets using plainspoken directives.
- Robust Interconnection: Implements hardened security measures to safeguard the exchange between monitoring targets and the AI ecosystem.
System Context: Uptime Agent
Uptime Agent is the foundational tool for tracking the availability of web assets and API services, generating alerts upon service degradation. This dedicated MCP intermediary extends the platform's utility, permitting direct, language-based interaction with your infrastructure monitoring layer.
⚙️ Deployment Guide
Prerequisites
- Execution environment supporting Node.js version 18 or newer.
- Valid credentials for the Uptime Agent service.
- The necessary Uptime Agent API authentication token.
To acquire your authentication credential: 1. Access your Uptime Agent Control Panel. 2. Navigate to the 'Account Management' then 'API Access Keys' section. 3. Generate a new access token, ensuring requisite permissions are granted. 4. Securely retain the generated key for server configuration.
Method 1: Expedited Installation (NPM)
The recommended pathway involves this single orchestration command:
npx uptime-agent-mcp setup
This command automates: - Installation of the necessary MCP intermediary components. - Optimization for interaction with Claude Desktop environments. - Interactive prompting for the required Uptime Agent API credential. - Full configuration setup.
Method 2: Via Smithery.ai Distribution Channel
Utilize the Smithery ecosystem for managed deployment:
- Establish an account at smithery.ai.
- Obtain your unique personal authorization key from your Smithery profile.
- Execute the following CLI instruction:
npx -y @smithery/cli@latest install @AVIMBU/uptime_agent_mcp --client claude --key <personal_key>
Substitute <personal_key> with your actual Smithery secret.
Method 3: Manual Source Integration (Advanced Users)
For environments requiring granular control over the build process:
# Obtain the source repository
git clone https://github.com/AVIMBU/uptime_agent_mcp.git
cd uptime_agent_mcp
# Install dependencies
npm install
# Compile source code
npm run build
Configure the runtime environment by creating a .env file in the root directory:
UPTIME_API_KEY=your-api-key-here
PORT=3000 # Optional: Specifies the listening port
Initiate the service daemon:
npm start
# Or execute the compiled artifact directly
node dist/index.js
🧠 AI Assistant Configuration
Integration with Claude Desktop
Once the service is operational, automatic configuration is applied for Claude Desktop environments. If manual setup was chosen, integrate the server definition into your claude_desktop_config.json:
{
"mcpServers": {
"uptime-agent": {
"command": "npx",
"args": [
"-y",
"uptime-agent-mcp"
],
"env": {
"UPTIME_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Alternatively, use a containerized approach via Docker configuration:
{
"mcpServers": {
"uptime-agent": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"UPTIME_API_KEY",
"uptime-agent-mcp"
],
"env": {
"UPTIME_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Sample Cognitive Interactions
Querying Current Monitor Inventory:
"AI, enumerate all currently active probes reporting system availability."
Provisioning New Surveillance:
"Establish continuous health validation for the endpoint located at https://api.mycompany.com/v2/health."
Post-Mortem Analysis Request:
"Summarize all recorded service interruption events concerning the primary transaction servers during the preceding seven-day cycle, quantifying mean time to recovery."
🛠️ Exposed Functionality
Monitoring Target Operations
| Function Name | Purpose | Required Arguments | Optional Arguments |
|---|---|---|---|
listMonitors |
Fetch a comprehensive manifest of all configured surveillance assets. | None | N/A |
getMonitor |
Retrieve granular telemetry for a specified tracking ID. | id (Target ID) |
N/A |
createMonitor |
Instantiate a new monitoring target definition. | name, url, tracking_type (e.g., http, ping), check_frequency (in seconds) |
N/A |
Service Disruption Record Management
| Function Name | Purpose | Required Arguments | Optional Arguments |
|---|---|---|---|
listIncidents |
Present the chronological log of all detected outages. | None | N/A |
getIncident |
Extract specific data points related to an identified failure event. | id (Incident ID) |
N/A |
listIncidentsByMonitor |
Filter the outage log by a specific monitored asset. | monitor_id |
N/A |
Public Visibility Configuration
| Function Name | Purpose | Required Arguments | Optional Arguments |
|---|---|---|---|
createAnonymousTracking |
Set up public status view without requiring user authentication. | url |
name (Tracking Label) |
Pending Feature: Slack Interfacing
| Function Name | Purpose | Required Arguments | Optional Arguments |
|---|---|---|---|
slack_get_users |
Retrieve the roster of users from the linked collaboration workspace. | None | limit, cursor (for pagination) |
slack_post_message |
Inject a formatted message into a designated communication channel. | channel_id, text (Message Payload) |
N/A |
🐳 Containerization Blueprint
Docker images are available for streamlined deployment:
# Construct the local container image
docker build -t uptime-agent-mcp .
# Launch the service instance, mapping port 3000 and providing the secret key
docker run -p 3000:3000 -e UPTIME_API_KEY=your-api-key uptime-agent-mcp
📞 Support Channels
For inquiries or technical assistance:
- Submit a formal report via GitHub Issues
- Direct contact through the developer portal: AVIMBU Solutions
📄 Licensing
This software is distributed under the permissive MIT License terms. Consult the LICENSE file for full stipulations.
Crafted with dedication by AVIMBU
